From efb48566d096da9ffc3b4e65f43341135375503e Mon Sep 17 00:00:00 2001 From: eliasecchig <115624100+eliasecchig@users.noreply.github.com> Date: Fri, 5 Jul 2024 14:12:21 +0200 Subject: [PATCH] docs: add Vertex Feature Store, edit BigQuery Vector Search (#23709) Add Vertex Feature Store, edit BigQuery Vector Search docs --------- Co-authored-by: Chester Curme --- .../google_bigquery_vector_search.ipynb | 233 ++++++--- .../google_vertex_ai_feature_store.ipynb | 459 ++++++++++++++++++ 2 files changed, 612 insertions(+), 80 deletions(-) create mode 100644 docs/docs/integrations/vectorstores/google_vertex_ai_feature_store.ipynb diff --git a/docs/docs/integrations/vectorstores/google_bigquery_vector_search.ipynb b/docs/docs/integrations/vectorstores/google_bigquery_vector_search.ipynb index e7d336d3361..8287bb04ca4 100644 --- a/docs/docs/integrations/vectorstores/google_bigquery_vector_search.ipynb +++ b/docs/docs/integrations/vectorstores/google_bigquery_vector_search.ipynb @@ -8,10 +8,20 @@ "source": [ "# Google BigQuery Vector Search\n", "\n", - "> [Google Cloud BigQuery Vector Search](https://cloud.google.com/bigquery/docs/vector-search-intro) lets you use GoogleSQL to do semantic search, using vector indexes for fast approximate results, or using brute force for exact results.\n", + "> [Google Cloud BigQuery Vector Search](https://cloud.google.com/bigquery/docs/vector-search-intro) lets you use GoogleSQL to do semantic search, using vector indexes for fast approximate results, or using brute force for exact results. \n", "\n", - "\n", - "This tutorial illustrates how to work with an end-to-end data and embedding management system in LangChain, and provide scalable semantic search in BigQuery." + "This tutorial illustrates how to work with an end-to-end data and embedding management system in LangChain, and provides a scalable semantic search in BigQuery using the`BigQueryVectorStore` class. This class is part of a set of 2 classes capable of providing a unified data storage and flexible vector search in Google Cloud:\n", + "- **BigQuery Vector Search**: with `BigQueryVectorStore` class, which is ideal for rapid prototyping with no infrastructure setup and batch retrieval.\n", + "- **Feature Store Online Store**: with `VertexFSVectorStore` class, enables low-latency retrieval with manual or scheduled data sync. Perfect for production-ready user-facing GenAI applications.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "25a003cd4edc" + }, + "source": [ + "![Diagram 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] }, { @@ -36,16 +46,11 @@ "cell_type": "code", "execution_count": null, "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "0ZITIDE160OD", - "outputId": "e184bc0d-6541-4e0a-82d2-1e216db00a2d" + "id": "0ZITIDE160OD" }, "outputs": [], "source": [ - "%pip install --upgrade --quiet langchain langchain-google-vertexai google-cloud-bigquery" + "%pip install --upgrade --quiet langchain langchain-google-vertexai \"langchain-google-community[featurestore]\"" ] }, { @@ -54,7 +59,7 @@ "id": "v40bB_GMcr9f" }, "source": [ - "**Colab only:** Uncomment the following cell to restart the kernel or use the button to restart the kernel. For Vertex AI Workbench you can restart the terminal using the button on top." + "To use the newly installed packages in this Jupyter runtime, you must restart the runtime. You can do this by running the cell below, which restarts the current kernel." ] }, { @@ -65,23 +70,26 @@ }, "outputs": [], "source": [ - "# # Automatically restart kernel after installs so that your environment can access the new packages\n", - "# import IPython\n", + "import IPython\n", "\n", - "# app = IPython.Application.instance()\n", - "# app.kernel.do_shutdown(True)" + "app = IPython.Application.instance()\n", + "app.kernel.do_shutdown(True)" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "id": "be453ee45565" + }, "source": [ "## Before you begin" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "id": "fb8ebc778a77" + }, "source": [ "#### Set your project ID\n", "\n", @@ -94,10 +102,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "id": "3f00771c2519" + }, "outputs": [], "source": [ - "# @title Project { display-mode: \"form\" }\n", "PROJECT_ID = \"\" # @param {type:\"string\"}\n", "\n", "# Set the project id\n", @@ -106,7 +115,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "id": "0c8db9870db1" + }, "source": [ "#### Set the region\n", "\n", @@ -116,16 +127,19 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "id": "afbc16ea31fc" + }, "outputs": [], "source": [ - "# @title Region { display-mode: \"form\" }\n", - "REGION = \"US\" # @param {type: \"string\"}" + "REGION = \"us-central1\" # @param {type: \"string\"}" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "id": "1af54eb03565" + }, "source": [ "#### Set the dataset and table names\n", "\n", @@ -135,17 +149,20 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "id": "259862ba68b1" + }, "outputs": [], "source": [ - "# @title Dataset and Table { display-mode: \"form\" }\n", "DATASET = \"my_langchain_dataset\" # @param {type: \"string\"}\n", "TABLE = \"doc_and_vectors\" # @param {type: \"string\"}" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "id": "445325c9b3bb" + }, "source": [ "### Authenticating your notebook environment\n", "\n", @@ -156,12 +173,14 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "id": "d9ff48bb5b3c" + }, "outputs": [], "source": [ - "from google.colab import auth as google_auth\n", + "# from google.colab import auth as google_auth\n", "\n", - "google_auth.authenticate_user()" + "# google_auth.authenticate_user()" ] }, { @@ -170,12 +189,14 @@ "id": "AD3yG49BdLlr" }, "source": [ - "## Demo: BigQueryVectorSearch" + "## Demo: BigQueryVectorStore" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "id": "7b62754dfe6b" + }, "source": [ "### Create an embedding class instance\n", "\n", @@ -190,11 +211,7 @@ "cell_type": "code", "execution_count": null, "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Vb2RJocV9_LQ", - "outputId": "37f5dc74-2512-47b2-c135-f34c10afdcf4" + "id": "Vb2RJocV9_LQ" }, "outputs": [], "source": [ @@ -207,54 +224,39 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "id": "76be94ede55d" + }, "source": [ - "### Create BigQuery Dataset\n", + "### Initialize BigQueryVectorStore\n", "\n", - "Optional step to create the dataset if it doesn't exist." + "BigQuery Dataset and Table will be automatically created if they do not exist. See class definition [here](https://github.com/langchain-ai/langchain-google/blob/main/libs/community/langchain_google_community/bq_storage_vectorstores/bigquery.py#L26) for all optional paremeters." ] }, { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "id": "14fccb04425d" + }, "outputs": [], "source": [ - "from google.cloud import bigquery\n", + "from langchain_google_community import BigQueryVectorStore\n", "\n", - "client = bigquery.Client(project=PROJECT_ID, location=REGION)\n", - "client.create_dataset(dataset=DATASET, exists_ok=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Initialize BigQueryVectorSearch Vector Store with an existing BigQuery dataset" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from langchain_community.vectorstores import BigQueryVectorSearch\n", - "from langchain_community.vectorstores.utils import DistanceStrategy\n", - "\n", - "store = BigQueryVectorSearch(\n", + "store = BigQueryVectorStore(\n", " project_id=PROJECT_ID,\n", " dataset_name=DATASET,\n", " table_name=TABLE,\n", " location=REGION,\n", " embedding=embedding,\n", - " distance_strategy=DistanceStrategy.EUCLIDEAN_DISTANCE,\n", ")" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "id": "d579f1a26c9a" + }, "source": [ "### Add texts" ] @@ -262,7 +264,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "id": "ebe4f493008b" + }, "outputs": [], "source": [ "all_texts = [\"Apples and oranges\", \"Cars and airplanes\", \"Pineapple\", \"Train\", \"Banana\"]\n", @@ -273,7 +277,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "id": "665e519e68bc" + }, "source": [ "### Search for documents" ] @@ -281,7 +287,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "id": "649e43849f40" + }, "outputs": [], "source": [ "query = \"I'd like a fruit.\"\n", @@ -291,7 +299,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "id": "390820e4b286" + }, "source": [ "### Search for documents by vector" ] @@ -299,7 +309,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "id": "78485da9655c" + }, "outputs": [], "source": [ "query_vector = embedding.embed_query(query)\n", @@ -309,7 +321,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "id": "20cf6074081b" + }, "source": [ "### Search for documents with metadata filter" ] @@ -317,7 +331,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "id": "5062f853c455" + }, "outputs": [], "source": [ "# This should only return \"Banana\" document.\n", @@ -327,26 +343,83 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "id": "b0308d680ee4" + }, "source": [ - "### Explore job satistics with BigQuery Job Id" + "### Batch search\n", + "BigQueryVectorStore offers a `batch_search` method for scalable Vector similarity search.\n" ] }, { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "id": "2790964dbc41" + }, "outputs": [], "source": [ - "job_id = \"\" # @param {type:\"string\"}\n", - "# Debug and explore the job statistics with a BigQuery Job id.\n", - "store.explore_job_stats(job_id)" + "results = store.batch_search(\n", + " embeddings=None, # can pass embeddings or\n", + " queries=[\"search_query\", \"search_query\"], # can pass queries\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "266a68de0e06" + }, + "source": [ + "### Add text with embeddings\n", + "\n", + "You can also bring your own embeddings with the `add_texts_with_embeddings` method.\n", + "This is particularly useful for multimodal data which might require custom preprocessing before the embedding generation." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "1b9e2f593813" + }, + "outputs": [], + "source": [ + "items = [\"some text\"]\n", + "embs = embedding.embed(items)\n", + "\n", + "ids = store.add_texts_with_embeddings(\n", + " texts=[\"some text\"], embs=embs, metadatas=[{\"len\": 1}]\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "f6867d68e057" + }, + "source": [ + "### Low-latency serving with Feature Store\n", + "You can simply use the method `.to_vertex_fs_vector_store()` to get a VertexFSVectorStore object, which offers low latency for online use cases. All mandatory parameters will be automatically transferred from the existing BigQueryVectorStore class. See the [class definition](https://github.com/langchain-ai/langchain-google/blob/main/libs/community/langchain_google_community/bq_storage_vectorstores/featurestore.py#L33) for all the other parameters you can use.\n", + "\n", + "Moving back to BigQueryVectorStore is equivalently easy with the `.to_bq_vector_store()` method." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "1d2d3f17dfde" + }, + "outputs": [], + "source": [ + "store.to_vertex_fs_vector_store() # pass optional VertexFSVectorStore parameters as arguments" ] } ], "metadata": { "colab": { - "provenance": [], + "name": "google_bigquery_vector_search.ipynb", "toc_visible": true }, "kernelspec": { @@ -364,7 +437,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.10.9" } }, "nbformat": 4, diff --git a/docs/docs/integrations/vectorstores/google_vertex_ai_feature_store.ipynb b/docs/docs/integrations/vectorstores/google_vertex_ai_feature_store.ipynb new file mode 100644 index 00000000000..905a71f47c1 --- /dev/null +++ b/docs/docs/integrations/vectorstores/google_vertex_ai_feature_store.ipynb @@ -0,0 +1,459 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "E_RJy7C1bpCT" + }, + "source": [ + "# Google Vertex AI Feature Store\n", + "\n", + "> [Google Cloud Vertex Feature Store](https://cloud.google.com/vertex-ai/docs/featurestore/latest/overview) streamlines your ML feature management and online serving processes by letting you serve at low-latency your data in [Google Cloud BigQuery](https://cloud.google.com/bigquery?hl=en), including the capacity to perform approximate neighbor retrieval for embeddings\n", + "\n", + "\n", + "This tutorial shows you how to easily perform low-latency vector search and approximate nearest neighbor retrieval directly from your BigQuery data, enabling powerful ML applications with minimal setup. We will do that using the `VertexFSVectorStore` class. \n", + "\n", + "This class is part of a set of 2 classes capable of providing a unified data storage and flexible vector search in Google Cloud:\n", + "- **BigQuery Vector Search**: with `BigQueryVectorStore` class, which is ideal for rapid prototyping with no infrastructure setup and batch retrieval.\n", + "- **Feature Store Online Store**: with `VertexFSVectorStore` class, enables low-latency retrieval with manual or scheduled data sync. Perfect for production-ready user-facing GenAI applications.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "25a003cd4edc" + }, + "source": [ + "![Diagram BQ-VertexFS](data:image/png;base64,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IAAAggggAACCCCAAAIIIIBArgoQ5MzVI0u7EEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEMhRAYKcOXpgaRYCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACuSpAkDNXjyztQgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCBHBQhy5uiBpVkIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAII5KoAQc5cPbK0CwEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIEcFSDImaMHlmYhgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggkKsCBDlz9cjSLgQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQRyVIAgZ44eWJqFAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQK4KEOTM1SNLuxBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDIUQGCnDl6YGkWAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAArkqQJAzV48s7UIAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgRwUIcubogaVZCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCOSqAEHOXD2ytAsBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBHBUgyJmjB5ZmIYAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIJCrAgQ5c/XI0i4EEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEclSAIGeOHliahQACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggECuChDkzNUjS7sQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQyFEBgpw5emBpFgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAK5KlA5VxtGuxBAAAEEEEAAAQQQQAABBBBAAAEEypbAzJkzbcOGDda6dWurWDH9s/mrV6+2BQsWWI0aNaxx48YFbuQvv/xiX3/9tbVp08YaNWpU4PWLc4X169fb7Nmzs+6iatWq1qxZs6zLsUBqgYULF9p3331nOudatmxpHTt2tCZNmqReuJxMXbt2rU2dOtWWLl3qfoP6HZZ00b6XLVtm9erVszp16pT07gu0v7JU1wI1jIULJLB8+XJbsmSJ1apVyxo0aFCgdUtq4W+//dYqV65sHTp0KKldsh8ESkyAIGeJUbMjBBBAAAEEEEAAAQQQQAABBBBAAIF0AmvWrLFLLrnEtthiC3vhhRfSLeamv/vuu/b444/boYceauedd17GZVPNfO655+zll1+2mjVrWv/+/a1KlSqpFtss03Qz+rrrrsu67549e1rfvn2zLscCyQIKSNx+++02fvz45BnRtx122MGZVq9ePc+8XJ6wceNGGzBggL366qvuIQO1dbvttrNbbrmlxJv95JNP2gcffGAXX3yx7bvvviW+/4LssCzVtSDtYtmCCbz22mv2yiuv2CmnnGLHHXdcwVYugaW/+eYbu+GGG9ye7rzzTgKdJWDOLkpWgCBnyXqzNwQQQAABBBBAAAEEEEAAAQQQQACBFALKqFOwRdljFSpUSLHE75NmzJjhvmy11Va/TyzAp59++sktraxRvUpT8W1r2LBhxizV7t27l3i1FRCeO3eunXnmmda8efMS3/+m7lAZsjfeeKPLAtZ5tuOOO7pM3mnTptmIESNs9OjRdu2115oCAeE5OHnyZHvxxRetXbt2duKJJ25qNUrd+vfdd5+99957puzgXXbZxRTkLUyGdFE0zJ//hf1tF0Ud8ruNoqqrrkc65/SAxxVXXJHf3bNcKRGYPn26q8nmOmeznT/+750qqZ4CKAjkmgBBzlw7orQHAQQQQAABBBBAAAEEEEAAAQQQKIMCBblRvKnBhZNPPtl0Q1pd91WrVq1Uafm2HXvssXbwwQeXmropAD1s2DDzGbelpmIFqIgyFdXN8V577WUXXnihCyr51Y8++miXxTllyhT76quvbKeddvKzbMKECfbFF19Y06ZNE9Ny5YO67X3//fdd99AKtG2OLmq9pbqR/uGHH1xdWrVq5SeXyveirOusWbPc+aXusyllT8BfszdXkDPb+bPzzjvbVVdd5a532267bdkDpsYIZBEgyJkFiNkIIIAAAggggAACCCCAAAIIIIAAAsUvkN8gp4JtuqmrTLvCBmQU2Nxvv/2Kv1GF2MPmvmGersoKhinAqTHn1M1vWSvK2B05cqSrtoLcypoLS4sWLez000932Yxdu3YNZ1lpPSZJlSzkl+HDh7tsZnUNW9jfUyF3nWc1Zdr+/PPPpmNRmrqQzlPRaEJR1jWXz69Udrk0beXKlbZ48eJSnf2sv5W77rprLrHTFgSSBAhyJnHwBQEEEEAAAQQQQAABBBBAAAEEEEBgcwjkN8g5f/58W7t2retmtEaNGomqKvj53Xff2dSpU23OnDmuu82OHTtap06dEsv4D8rMU+ncuXOiW1JlkGm8RmXjaLvqPnfcuHGm4J6W0xiFmYJ7S5YsMXVrqpeyvJSV1bt3b6tcubILkq1atcratm2bMXNUbdB+VQqaFaQ2a99qf5MmTdz4ki1btnTbSvWPApZaVpmL8+bNc/WVlfYbdtWq9uvlA4Rqh/erXbu2+X3o+K1evdptJzwuft8KBqhtW265ZaJtS5cudd3fNmrUyB1PHQOZK4jdrVs3UwaSL6qv6qo2rlixwh0PHZP8jp+pfen4VqpUyerUqeM3m/S+//77J77rWGh8VBV15aoStr19+/ZJgTjNk6e6vl20aJE77xQsrVWrlls3/s+kSZNcQE/n1rp165ypXLXfPn36uHNQ6+hckq2W1zHWfrXdevXqxTeZ7+9h2wYOHOjW03nqj2uzZs2Stl9cbYtXOFuwT+eFfPXSb1HniH5T4fmqbWo7qrPOTZ2j8eLPVf1OFLSPFzn/+OOPlqnL6Ex11bmmc1Uvnff+OhTvAtjXY/Dgwa4K4fkVPwYFOQ/UPan2rd+hrkP6XWoMWh3f+vXr2/bbb5/ndx4a6IEA/VZ1PquOWkddNetcDR8O0DJqX7yu4bbCc23rrbdO+3sNr7+6Ruj7xIkT3bHMdM7H2yp7XUP0e5H34YcfnqhOQc9jv6IC7zrnZKpzY5tttnHnnn7b/jzQAwL+PFS2uK4B/rrmt+PfvYmWl2m86Hrw/fffO391D66sZhnoFZb8nj9+OdUx/jfMt03t0/HUMhqbWL+NVCV+zVY75a1zRcdX55baTUGgJAUIcpakNvtCAAEEEEAAAQQQQAABBBBAAAEEEEgp4G8WZwvupVpOwau7777bvvnmmzzb3m233VzXpD7wpoDd1Vdf7YIf//3vfxPLP/DAAy6oddddd9nTTz/txmf0M1977TW3/D333JMnKKLgw1NPPWU+WOTX0fvzzz/vxni87bbbXDBPy2XqHlc3tHWDWzeJfX3D7aX6nKntCkzcdNNNebal8Sf/9a9/ueBHfJt77LGH/eUvf0ncsH/22WdN2X6+KMAsP5WjjjrKzjjjDPf55ptvdjf2H3nkkTz70wKff/653X///aaMwYsvvtito+DOSy+9ZP/3f//nAptvvvmmm65/FOjwQc4PPvjAHnroIRfc9guo61kFLC+44AK3TT893buCWQpa6aa89nvMMcekW9RNV6DCt9Mv+MQTT7iPCk4899xzfrILgj722GNJnoMGDXKGaq+6xvUBEK2kcfH69u3rzql+/fq5c2TZsmVue2qTH/dTgYM77rjDFNiPlwMOOMC1PT49P99Tte3tt982vVRUt549e7rPCvAWR9vcxmP/pPptaxE9QKBxQ0eNGpW0hn6nClhfd911LgjnZ77yyiumc+bPf/6zHXjggX6ye1fW3d/+9jd3DI444gg766yzkubr93z99de7wL7s44FJv3Cquip4pd+8xm/VZ1/8ea3zPOyC+pZbbnH78ct9+eWXppfKNddck+gyuaDngYLzasPuu+9u+j3/85//tHBcRm1f5/9pp52mj0lFGaq6lmqf8aLric4NH8R655133HXvsMMOs3POOSe+uPuuZXRt1XVd201X/PVXddVvyzuEy5966qmmbrzDErZV2Yq6RvtxlhVA9EHOgp7Hfh96qEJ10oMgYdHv+aKLLkrsS8FkX3TNVBfQmp+qxwD9nnVtkeOjjz7qV3Pvareukwqyx4u62db1zmc55/f8+cc//uGuIf/+97+TgpwKBN97770ucBvflwKqN9xwQ9LyWia8Zutv6f/+97+kVeWicY013jEFgZISIMhZUtLsBwEEEEAAAQQQQAABBBBAAAEEEEAgpYBulirbSFlXdevWTbmMn+iDC+FNZQXYdMNWGTa6EazuLpW1pBuyn376qduuAgwqqdYPpz/44IMuC+z444932Xi66a+AlQJDCoDqhrEvymJSkEr7VrbTPvvs48b51E32Tz75xL1uvfVWd4NcwZh0GYR+e75u2QK9fnll+6jtCgIpa003+XVjX5k7CvIoUKEb4Qp4+BvjCmQpYKib0X/4wx+sS5cuLttQwYKXX37ZPvroI9eWM8880+1GlgqoaTxOFW1Hxiq77LKLe1eGlIKHCuBmCwqFXaL69mrbaovGSFUWkTI1fQbuww8/bEOHDnXdyKp9eimbbPTo0fbuu++6AIoyqnxA1FUozT8KMA0YMMAU3Fam2HHHHeey0FItrmCz2q3sQWWUqei7igKwPlitwM2HH37oXHr06GF6KctS9dN01VEB67PPPtutq3+0TZ0jyp5UMEsBMZlqzE8F4dQ+BUkU+FGmlY6p2t28eXMXiJeXXsrKUhe7BS2+bQpY63ir7L333oksPR0HleJqm9t4in/8+RCe/8rOVqDeZwxqrFRli+mBAAXOdd7eeOONpgcJ5KOizEIV/WbjRQFQBZlVlJUXL/rd6HqkII2uJ+lKqroqYKT1dT4quKb1dfw0nutbb71legBA1wn9bhRMVSaqiv9taZ8+s9Qfg8KcB75uOscVqFXAWuelsp4VRNM5qYcElBHs66B66Jqlhx8UEFWQS+soC1WOugbqeqKxHXWN1HVA6+rhjrFjx2r1PEXXBQWida3R9VcB/HTF11nb1rFVFrx+01WrVnV+ClLqtyvbgw46KLEZv57aqmu9Aoc6R1Q/n8VbmPNYO9Dfj8cff9z9PjWWpTyUrah9Krin36c/R8JzVtdflXCam/DbP77O8flPPvmk6YEaXRe6d+/u9qdzWu46Xjq3dO5eccUV+T5/9BvX8dM2dS33ZciQIS7AqmuPjrHOPQWx9XvTdUtZq/rd6e+bjoEvvu46Z/X7OeSQQ9w1W8dax0gZwwo066GEbH/L/TZ5R2BTBQhybqog6yOAAAIIIIAAAggggAACCCCAAAIIbJKAv3EaBi7TbdAv628Q6waugowKOukGvO/GUzfgdWNaN4fVrakv8fU13QdZ9VnBpzvvvDNxg1w3f3XDWdl4Ptil5VSUsaN9K1Co7LAwiKkMUgWtfKaLr++va6b+19dN77qhnaqoG0EFAFVPZeYowLnnnnu67Eu/vG7yKxCgbCHddFbmpjK6VBTMUuBWbQoDHGqDAis3RNk7ypjzQU6fOaVgkg+axI+Tr7faqIBGqpLqxr9fT/OUPerr6Nf/7LPPXIBTAYvbb7/dwv1qWQViFARVcCA/QU61RcGy119/3d2QV4aqAj0Kdqr9YVEwVllTCvzouCtQpO9hUQDKBzgVDPCBWS3Tq1cv1x4FmBUgkrWCJCq+3QoMK4CpzKcwc1fTFYhWQCOejagAmc4traNzW9mI/px3G8/HP75tylJTkFPfL7300qQ1i6ttSTuJffEu/reiAKGCJTpm8r/yyiuTzi8FEvUQgQJ3Cqzod6vig536XYdFvxUF+dVe/QbiQU4FfBQEVTnhhBPCVfN8jtdVCygzUgFqnU9hd5/6PSo4p4cIlG2uY+izkJXB6wPWykgNS2HPA183vZ9//vlJ2aM6LxXk/vjjj11Ay18D1A2pgnYKcOp3oqzJsOi6oWucAvQKJuq7rq9qh7o51YMJamNYlNWqTHNlM+o8T1fC66/arGBx+LCE6qwAnLIelU2thw0qVqzoNufbqmuIHtpQRml4DSrseaw2KcCpYLQyz5WR7Yv+Juj6o9+Mrosq/pzV8rpOqg7qZjZVSXUt/Prrr12AU576O+avFVpf+5PBZZdd5q7lygTV+aXrUabzR+vKR+e1HoLxQWad9/3793d/Q5TJrGuILzpXDz30UPdbU8BTxzB8kMJ7K7NVDxf4IK/WV2D6kksucVmj+n0R5PSqvBe3wK9Xg+LeC9tHAAEEEEAAAQQQQAABBBBAAAEEEEAgjUCqm75pFk0EiPxNZQVAfAlvbmuabuDrRmwYPNPNaxW/vj77G7da/+9//3siwKl5KrpBrECbbhYr8KKiOivDUMEpZdaEAU63QPSPAiU+eBXuz8+Pv/t66Ka/gjapXroZrqJgjeqg7caDb5qvgIPvGjMMzqodCmD64IaW9UUZcjKId5WowIdujOsmuSzixdc7Uxvjy/gMI21LgYnwGGma9qkb8SoK9LUJuoN0E6N/1D61UzfUFUzJTzkj6l5Xrn68VGVcKptSGbraZ7zIWCXeNmUe+/pdfvnlSQFOt0L0j4LrvrvMMNvNWyjrTEFlf4749RTIUSBKY4TGu1vVMgpGK0itEh5bN6EA//h6lGTb0lVPY67qvFfWmB4OUFFWmwJGyjQLu1D221CgS9N1XirzTMdExWdyKmAWFp/FedJJJ7kgmoJFCkr5oocBtD/Zap/pSqq6alllYephiDDA6behYLpK/LeV7vzSsoU9D/xxVXDRXwO0PV8UMFTxGa367Lsk1jkXD3Bqvh4iUQBLvx0FOP00BfZ1XdS4jGHRdVaZkPnJNvb11bVJv8UwwOm3qcCbgte6bvhruOb5dfV7Pvfcc5MCnIX9jao9yijVuXHKKackBTh9fdT19dFHH+2/Jq4Puk7qb4TOwTADMrFgUGf/u9NvXQ81qCigGgY43cToH113FfxUoDc8vzKdP1rXW/l9adp//vMfd+x1bQoDnJqnoocmfM8H4XUrvGafd955SQFOradzxGeLhueW5lEQKE4BMjmLU5dtI4AAAggggAACCCCAAAIIIIAAAghkFfA3qsMbsalW8sG2sOs9dR+om9+6uaxgk7J5dJNY2VrxoKe2mWpffpqCG368uXD/uuntizIoVd6Psvj0WTeKfbeIfhn/rpv2uumrjLlsbdM6vh4KQKbLAvIZi76LSwXI1E1gqqLgn4oCQGFRoFRZOrpBrkCPAoUKnClDUIGjMPCj9RT4UVtlKvt4yXajXVliCkIq4KHuOlXUVrlqWqpx6xR89Jl4Ciqpe8VURe1XFpm6u00VuE21jgKmykpTvZRl+cYbb7gMKXXtqSBLWPwxiR8/BRfVJp176ko2XfHZxD7jS8v5bSoAFQ+EKDCjTDkVWaVrt0xU1JWlsrwKU3w9SqptmeqoYIzOh/B3q6CjisZ81G8pVdHx1/GUg7KqdQ74TM6wu1odaz0YoLYqK1S/H3WLqmV8UNRnXfsxUVPtT9NS1VXTFdxShuS0adPcb0tZdgqGKditd5X4byvdMSjseSBDH9gKu3V1O//tH18H/67rqrKmVTKNVavM6XhR99LKFleQMzwPFTTV9pXdmu766Lflrx/6Hfluev08/65ruYKzus7r2qVjHrY1VbCusL9RXTe1rrJyw0Cmr4t/9x4Kbus6puLbEv9N+XX07o+5znUVXRt0rdN2fFfgbkbsH2V0xovfVrr9+fnyUlGgUtdWlUzHWsFrmetc1joKYGpb/podHmu3sd/+8X8f/Xs4j88IFJdA3v8rKa49sV0EEEAAAQQQQAABBBBAAAEEEEAAAQRSCKjrOxUfnEixiJvkxzJUANB3vacbsRqXUl1V6maxxlvUS9vSje8wk0k33VN1JehvBCv4kaqofgoE6Ca0D7b4QEKmjC9tS1k6Kv4ms/uS4h8tp6CLbqyrK1LfvhSLuoCjLFTU5jCAlmp5H0hTEEZZPAr2qChgqaw5tV8ZO76rTn/z3W8r241775ftRns436+jgLQ39fvTu9+nPmssw2wl1TayraOMJQVhFBhTxq+6PdX5EWar+nrEj59u/qtk6oZT833WlbpK9cW3Xdln8aJ5CiSovPjii/HZeb4Xpt1+I74eJdU2v99U774u/hwJA1hhN8Cp1lXmn4Kc3lhjpiqwpu8Ktihwr3Nbv2FlV+ua4QObCprp85gxY9zDCDoXsv2m43VVnRRE1bigCsCpqA7qrlMBQJ1Xvvj2+e/pzq/Cnge6hqidOrfTBQz9tcNn3elaJifVN9s12NfbvyvIqW67w0xOBUzlKUc/jq1fPtW798x2nP26On4qvq26Lqc6ZoX9jfr6KKia6qEOXw+frRgeU79uOM0vr3cdG51zYVa8Pwfy2/5we37d+G/YL+P/Tvn6+PNK16VM3Vzr4QEFbvUAiR7m8EFObVcPA6W77vhzq6Dnka8v7wgURoAgZ2HUWAcBBBBAAAEEEEAAAQQQQAABBBBAoMgEfFAn2wZ9tpG6VQ2LMt7U3ahu+H7++ecum0rBKo3XqAyZP/7xj25x3VxWoE+BPd209SXbjelU8/3NXN+1pt9W+K6udLWcbsqny8z0y+tmtBwUYMsU4NTyPuiqz+ru1I9Pp++pir+ZrWChMtiUgXT88ce78Si9g+qpMeg0ZmD8hnmq9vv9qM6Z5ms5H2zwN9o1za8T35fmqfib8wo6Zco4+nVpc23yn1O9q54+OBKfr65ENbacgsUK1vggp++WVDf0fVDMr+sD835ZPz3+7rNpfdsVNFDwTe4+ABqu488rBVfiYzSGy/nP2c4rv1yqdx8g8XXzyxRX2/z2U73788HXRUYK/CtAnyq7OtyGftcqYXBex0sBR21Hv6e33nrLZXH6DDR/PLWuAu0aL1MlWxanlonXVdM0/q2Cbup2WV2r6nzSfhU81Dml8S6VNe3bp3VUUm1L0wt7HqTbnrbpS3wZ/1tr27atXyTf7wqkKiCmbfhgmLrZ1TVJXZ6m+82FO/DnYTi+Yzjff/ZdM3tD345015DCnsd+uz5T0+8//u7rE+7ft8XXMb6Otq1rkQLMPoDq/bPtL74tffd1Tbe/eH3ya6K/XbpW6Trlf3/Z9qV1Fi9enPbalqr+TEOgKAQIchaFIttAAAEEEEAAAQQQQAABBBBAAAEEENhkAQUg0xXdGB4+fLibrW5VUxXdbNZL2VrqglRBO43rd9xxx7kbr6lu0obZnWGQJNx+/Eax5unGrwKo6pIyXdaKugVUvTXfZ1OG2w0/p6pbOD/8rKCugggKvnXp0iVxszxcJv5Z9VD3nwo6aNxRH/j0y4XBMhmGxdctPl3LKIikYKCyftTtbarywQcfuMmhr99mupvzvntPdfXpxzNMte1s09TVojLNvvrqK7vvvvuyBoTDgLHqKDfZxIM1vi2+Henq4ce083Y+oJFqm9pGUbU7XX38dJ23Ckop49AHMfy84mqb336q9/hvTOe4zikFThQcTBUQ1nZ0/imQrOPj663p+s0pyKnfqB58UAadAvv+OIZBTnUnrcxDBdTzk00Xr6vOAQU4dUzjY4fqfNI21Q4Vfx7oswKg/iGIsO6aV9jzwJ+P4X60PV/C653/zfvj7wNgftn8vKt9euhE1xZlrer8VhfA6mJYXYlnK8qG9EFqnZPpioJnOpban79m+LbG7fw2/HS/nJ8ef4//Rv34ygryZSo+e9XXR8v6hxrS/U348MMP3SZ93fTF++scKkjJdP5oOxr/Vb9x/Y6U7ari65rNRL8Hv7z/zfh10p1bfn66a5vbIP8gUAwCFYthm2wSAQQQQAABBBBAAAEEEEAAAQQQQACBfAv4m7waUy9dee6551yWiJb1XYSuWrXK3nzzTfM3jv26uimrbCploeimvr957wNM/kavllfGp5ZRl5fVq1f3m0h69zdvw5u7Phii8S1TFd24VyapSri/VMtqWqp9pFtW7VIAQQE8n00UX1Zteuqpp1z7NE/BFN3wViBS3VLGi2z8WG1hO7WcjFT8cXJffvvHZyOlC1ArEBAPCmlV3950NhrLUkWZpemK5un4q63pioLLygBW8MHfuI8vq0CZd1QXlb74duvciBdfP7XPd0kcX0brK4NQXRDvs88+bnYqi3A9nVc6f5VVqsBcqqKAj46tD5ylWibbtEz+xdW2THWK10cG/jcWdvca34YcdO7JN+xC0weZFMAcOnSoC4CGD0eEQU4/FqcejshPiddVwT0VZfX6gFC4nXfffdd0rVL9fL00X0E7HWMFmuPXnsKeB/G6hfXQZ/0O4tnsPutU1ywFlFMVtVEZmuqWN178QwgaP1bXaT1AcfLJJ8cXS/ld9fG/Xx80jC+o+ffff7+brDGXdf1T8W2NX6/czOifwp7HvuvbCRMmmO+S1m/Tv2ssX3/NCPfvs/BTraffq39QJ7zuhfVMdx3VdU6v8JqQ6fxRPf3fuzCgqv0q83bRokWJ+b5N/l11V5fvKuG4rt47rLtfR+/+2hZ6hPP5jEBxCRDkLC5ZtosAAggggAACCCCAAAIIIIAAAgggkC+Bww8/3C2nG+Tx8SV1U1c3XDU+oW4gh5lSyh569NFH3c33+M35kSNHuiCgslj8TV5/kza8CZtqWrzSfpnw5q6yvlSUKRoGOpX5pzbcdNNNrrs/LROup++pSqp9pFrOT9tpp53cR938j7ddAZV7773XXn31VRswYIBbTt3qKuCnQOcXX3zhN+PeNZ6hxgFV3RWkidfX37j3mUbKIPJFARoVBVx9d8J+noIAt956q/+a2K6CisqSCjOMEgv99kGBbG1bwZXnn38+PtsFP++44w537H13uHkWiiaoPfvvv7+bdffdd+e5sa8gi2+7smLDIKcP4CozzQdifNsVZFZ2oYIFd911l8vKC/evLEKN86n1+vTp47qn1Pxsx1kBCAU9dN7ffvvteQKoCkTp3NKxff/99xO7VHerF154YdK0xMwUHzLVo7jalqIabpLOBwWAlEHns+g0w3ct++STT5oCTmFRIEa/fWUJK3B/xhlnhLMTwURdNxSE9mNxaG7vwAAAQABJREFU+oV07JQVqAcrdB3R2JL+4Qm/TKr3VHX11xNlC8ezEd977z177LHH3Kb0uwqDoP53pd+rzxr051dhzwN/XH2d4m3wgajwN67rgr+e3XLLLbZ69eqk1XQua8zjgQMHml8/XEB2Kv4hgrPOOssF0sJl0n0Ot6fAYTygrWOnrn5HjRrlshHD4Klva9iWcD+FPY+1nvwVRFRg1x8TbVvXSJ1z/fv3d7vSMfRjm2qCvx76YKZbKPpHWZXKoPcPJvi/SZqvoKrOe/221dZ4eeedd9w5pOugzhVfMp0/Wsb7hOeCzr9dd93VbULHWvUKi85vdYGuB4OURb/vvvu62f6aLZdUD7toIb+/dMcj3A+fEShKgcpFuTG2hQACCCCAAAIIIIAAAggggAACCCCAQEEFFNTZZZddTIHJq666yt00VnaRbrQqE0vZLbqhe8455yQFIvbee2/XLe33339vl1xyie25554uI1MBEZ8VdOCBBya6KPU31MObsNluzOomu4J72n84/qKyl0499VQXROzXr59pbDp1MamgnAKJuomtm8T6Hu4vnY2vW3hDOt2ymq6gjequrjgvu+wyF6RRN4EyU4aj6qDvF198sduMssg0XqBumCvYt/POOztnBWTlpS4nFaxV8MdnSvn9K+tNgVQF3XRcFBRRm1UUCNR2P/roI7vnnntckE03/RXgVHCke/fuLnAhG90gV/Hm4Y1+NyP4RwHQa665xq6//noX5FQgSnVUkEFBWR/0uuCCC7KOx6msXgVPdC7JSmMPat/KdFKAVOeXjmffvn2DGlhiHE7t77zzznMZascee6z17NnTnVMKYmodBY3PPvtsFyiqXbu2TZkyxbVfAU6dkwpy+uLbnumcuOKKK9x2FTRT+xSAUhBEmaGapvrutdderktQbVfdBatLXgVjFNTT7yJb8fVIdb4p+FdcbUtVL1+XuMl+++3njtHrr7/uAtE693StUNBZ560CzMpK1jGVe1h8pqaCSjrWYRanltPvWRm6Pss7P2Nxar1UdVWQShmaClKpLgrO6neh377OHf0G9NuKt091VlBMgatzzz3XZWcrg/P000/Xrqyg50G6a5Xb2G//pKq/ZqneuvbqN6G66JzTgxG6tup6ot+djNSWeAmviwp46nqQ3+Lro/P5448/dmMr6xjreqp9y1ABbV2X/vrXvyYyXvPT1sKexzo3rrzySvcwweDBg921Ru1SIFrXEV1bFfxTADscW1Nt1nRd95R1qWu6zg09SKEucdVlrNqha2n4u9P1VuPvKgiq4Kj+dmmcWJ1DOs91Dun6rWMUdjOe7fzxtvHz7k9/+pM777VtjZuq66qWUX11XVWQWw976G+qL+m25efrPT/LhMvzGYGiEiDIWVSSbAcBBBBAAAEEEEAAAQQQQAABBBBAoNACusGuTE51Hambwnr5ohvMCiLFg2K6ia1MwUceecQF195++22/igvUaR2fJapMQwVHdLPYB0C0cLYbs7rprxv88ZvZWlcBL92I1s1uBdD00o3n3r17m24k+6CZgmqZirqA1I1zrRvexM60jtp++eWXu7YrOKwsSp9JqTZq/MFjjjkmKWD55z//2QXnhg0b5oKS2r4ClkcffbQLyCoTK8xk9Pu/6KKLXNBLFrqB77te9fOVQag2KCChYKSKumg98sgj3c16BQbCG+3ZzP12lVmn80IBPAUOw4xNBUGUMZaf7Dtl+ilr6cEHH3SBFH+stB+N/aiglLal4EZYFKA45ZRT3DmpLmLVxvAcVBDohijrSZl6CuqG2VsKoClYpXPBF51Hvu1hkMPP9+8KaCrI+NBDD7mggwLTvihQouD63kEgU12dKjCk4IjP0vLLp3v39QiPS7hscbUt3If/nKkuZ0QZmjqXlD2noIxeKjrHd999dxd81u8mXsLfeDyL0y+rZRTkVIA7P+eR1ktVV503t912mzvHfIBLy+pY6Teq4LR+W8oQDIva8Le//c1lXSujTm3zWcdarqDngbqk1jmmgKvMUhUFslTix10PFeiBAv1GdB598sknbjn9o8CcMigViExVwi5Uzz///FSLpJ3m66PAqF465xUQ9ONkKgCo6XrAxT8koY2FbdU1OF0p6Hnst6O/OQqqKpNTdfT1VFBdDzzIWNf9+O9Y3bvqeKuLZF0P9VLRNUZ/j3QNVpviXWDruqtrnTLvda3T+r4o8K32t2/f3k9y79nOn1TnqlbUespeV9aoAth6SMNn9+s80O9Ffz/C66HfVry9vkLhtS1+bvlleEeguAQqRCfgxuLaONtFAAEEEEAAAQQQQAABBBBAAAEEEECgIAK6Ya4bqgpI6ua6biaHN7fTbUvZJ7oRre4iFYjSemHXkOnWK6rpCoIpw051VlFATpk3yj5Tt6rFWfwNZmWSKXCjgKxuZKcrslJQTjfbdUPad7GYbnk/XUE+HR/doE9lq0wnZQLpeOlmuIKLRVWU7aZtq13KHFMAqTBFWWHKEFNQSUGD/GxHGZnK5lVANN25qMwyBTQUcFEwq6jarnNKgTO1X+3W+RUGH7yBuhNVm5Rhm2q+X64w78XVtoLWRee3rg06v2WhQH9pK7oOKPNO55WuQ+mCjfF6K9iqBw7SPeSQ3/Mgvt3CfNdvXL81HXdlYOshjVS/d7/tp59+2j0IoMBY2J2sn5/pXQ8XqCtUPaiic1v71nVcXcXKT8c5074zbTs+r7DnsY6Nruf6XStomp+idugaq3ddY9N18ZpqW7qO6lqia52u52HAPtXympbt/Em3nrK/9dCH/m6qfQWpZ7ptMh2BkhYgyFnS4uwPAQQQQAABBBBAAAEEEEAAAQQQQKBMCyjopW5iFfBK1X2jGvfwww+7bBx1N3rAAQeU6fZS+dItoC5qlVWmQGdRBVdLd4upXWkRUEBS2aoKht53330ZH66I11nBvD/+8Y/uYQtl8RdVMDO+H74jgEBuC6TP5c7tdtM6BBBAAAEEEEAAAQQQQAABBBBAAAEECiXw6quvum4FlS2qbirj3WW+9NJLLsDpu1os1E5YCYF8Cqg7S405SYAzn2AsViQCygK8//77TQ99qAvXTNnjqXbou0BVxiYBzlRCTEMAgfwIEOTMjxLLIIAAAggggAACCCCAAAIIIIAAAggg8JvAwQcfbAMHDjR1n6ksJmVqqgtN3bTXeHbq6lEBJ43ppkAnBYHiFNCYkhQESlpg0KBBbvxIBdh79OhR4N37ICdjOBaYjhUQQCAQIMgZYPARAQQQQAABBBBAAAEEEEAAAQQQQACBbAI1a9a0u+66y2699VY3ftyzzz6btIrGNuvbt29ifM6kmXxBAAEEyrjA/PnzTdc9PcRx9tlnF6o16upWhSCnY+AfBBAopABjchYSjtUQQAABBBBAAAEEEEAAAQQQQAABBMq3gLppnDZtmk2ePNmWLVtmbdq0sXbt2lmjRo3KNwytRwCBnBZYvny5LVmyxI1L3Lhx40K1VYHSNWvWmNbX+MYUBBBAoDACBDkLo8Y6CCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCw2QQqbrY9s2MEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEECgEAIEOQuBxioIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIILD5BAhybj579owAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAoUQIMhZCDRWQQABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBzSdAkHPz2bNnBBBAAAEEEEAAAQQQQAABBBBAAIEyIjBv3jz76quvbMOGDaW+xkuXLrXp06fbsmXLSn1dqSACCCCAAAIIIFBYAYKchZVjPQQQQAABBBBAAAEEEEAAAQQQQACBciGwatUqu/jii+2mm26y119/vdS3+cknn7RLL73UBWVLfWWpIAIIIIAAAgggUEiByoVcj9UQQAABBBBAAAEEEEAAAQQQQAABBBAoEwL9+/e3uXPn2plnnmnNmzcvcJ1/+eWXRAbn+vXrC7x+Sa8wY8YMt8utttqqpHfN/hBAAAEEEEAAgRITIMhZYtTsCAEEEEAAAQQQQAABBBBAAAEEEECgpAU2btxow4YNszVr1tgll1xSqN3Xrl3bbr/9dps1a5bttttuhdpGSa2kgOwPP/xgFStWtFatWpXUbtkPAggggAACCCBQ4gIEOUucnB0igAACCCCAAAIIIIAAAggggAACCJSUwMKFC12As0GDBlazZs1C77Zdu3amV2kvs2fPtp9//tlatGhhVapUKe3VpX4IIIAAAggggEChBQhyFpqOFRFAAAEEEEAAAQQQQAABBBBAAAEEikpg0qRJLjjXuXNnW7dunU2YMMG9lInZp08fq1GjhtuVMhWnT59uWn7OnDnWvn1769q1q9WrVy+pKgpu6jVy5Eg3XeNqapsqysxs2bKl+6ysx+XLl5u6dq1WrZpNmTLFxo4da8uWLbMDDjjAWrdu7bajbTVs2NAaN27s1gv/UT0mT55sU6dOtSZNmtgOO+yQ2L5fbtGiRbZgwYKkfft54bvatnr1amvatKnVr1/fzVIWqratus2bN8/atGljnTp1cnWuUKFCuLrRVW0SB18QQAABBBBAIIcFCHLm8MGlaQgggAACCCCAAAIIIIAAAggggEBZENA4l3379nUBwH79+tm1117rgoyqe6VKlezEE090zfj/9u4Ebqs5///4R3vatWrfFW0obVokRRGhMGPG8BvGvmWMvaz/wRRZhvxk+THGMPYlEhWhXdGKStGuIpVU9P++D+dyluu695Pu+359PW7Xdc51zvec8zznusdj3vfn+1XQd8cdd9jatWtjl6VA8oILLkitf+qpp2zixImp5e3bt9s111zjLZ9wwgn2pz/9yXt///3328KFC71+x44da4sXL07t06lTJy/kfPrpp+3tt9+2c845xwYMGJD6XOHoqFGjbM6cOal1/htVfd58882pcFb93nnnndakSRO76667/M1CrwpLhw0bZqVLlzadl9q0adNs9OjRXvAZ2tgt9OjRwy6//HILBp2EnFEllhFAAAEEEECgqAoQchbVO8t1IYAAAggggAACCCCAAAIIIIAAAoVEQHNd/vTTT1aqVCm77rrrTNWbvXr18qoZN2zY4IV+kyZN8oI/DcWqas/OnTtb3bp1vYBSc27qR8PRnnHGGd5Va7hWBZ9ar6ahW9Wn2mGHHea96l9+KDhmzBhbsWKFHXLIIdayZUvvvSomg9v4y1q3dOlSu+WWW2zjxo1e1abOR+elSszJkyd7lZe33nqrDR8+3Du2Ki/VdIwdO3akHUr28ccfN1WqKtTV8Lrjx4+3Bx54wAsxBw4caG3atLFKlSp51/zf//7X3nvvPa/a88wzz/T61r/861FlKg0BBBBAAAEEECjKAoScRfnucm0IIIAAAggggAACCCCAAAIIIIBAIRDwgzkN6aqgUJWc/vC0On2tV9inis/zzz/f+vXrl7oqBZbdunXz9nnhhRds0KBB3tC1J598sreNqjQ1JK0qQIMhpT7UELQaGlZNYeXIkSO9yk1vxS//UuCqEFZNQ9eqKZC95557vH169uzpVVN6H7h/dezY0fr37+9Vjc6fP9+rxFTFpUJLDXera1m2bJkdcMAB/i7eq4bIVdWmhrtVpala7969TXNsHnzwwdahQwdvnf6lsLNFixY2YsQI++ijj4yQM0XDGwQQQAABBBAoRgIlitG1cqkIIIAAAggggAACCCCAAAIIIIAAAnuhgB9y1qxZ0wvuggGnTvfRRx/15uns27dvKOD0L0WBn4JAtUWLFvmrvYpJDQGrIW/9OThTH7o3/nE13OuNN96YCjGD22gOTM0RqpBSlaJqqrBUxaaqJYND5Pr7qdry6KOP9haD5+NXc2r+zmBTkPrII494q8466yyvclULqj5VgBkMOP392rZt61V4fvPNN/4q09ydCm7Lli3rVcGmPuANAggggAACCCBQBAWo5CyCN5VLQgABBBBAAAEEEEAAAQQQQAABBAqTgB82KhhUQBdsqrT84IMPvFX77befjRs3Lvhx6r0CPjXN29m1a1fvvSo4VXWpCkwNhRtt/nEVIvpVmpm2CQ7/6g+BqzD2nXfeie7iLasCU+3zzz/3XvUvhZxTpkyxaMipPlTdqfPQsLfBNnv2bG+eUIWqmotUAapCXVWvlihRwhve1t9eQ+EqMNW1BOfp9D/nFQEEEEAAAQQQKEoC8f+6K0pXx7UggAACCCCAAAIIIIAAAggggAACCOz1An7Y2L1799i56jMFd2rPPPNM7PPoClU/+k3BoFowoPRW/PKvrI7rb6fgUM3vQ6GpP3ythsLVT1YtGNr6Q9QGQ87t27fbk08+6VWb/vnPf051pblHH3roIa9qVCsV0tapU8erPtXQts8//7y3bTCc9a/HP9dUZ7xBAAEEEEAAAQSKoAAhZxG8qVwSAggggAACCCCAAAIIIIAAAgggUFgEvvvuO29uy3LlynnzUUbP2w8UFfLdcMMN0Y9jyw0aNEityy70y+5zdeRv48/nqeFrd+zY4R1jxIgRXjVl6oBp3lSrVi21tmnTpt4QtKtXr/bmAlUlqOYR3bRpkx133HGhIXXHjBljqhht3ry5DR061Nq1a2cyUpPJ2LFjbc6cOaF5Rv1zJeRMkfMGAQQQQAABBIqwACFnEb65XBoCCCCAAAIIIIAAAggggAACCCCwtwv4lZIKJ9MNsVqjRg3vEg466CAv6MvN9fihnx9QBvf98ccfTcPZ6pjBYDS4jd77ffjBoYbM1TCxqhht06ZN2mFwo334y5obVEPNzp8/3xvGtl69evbiiy9alSpV7LTTTvM38ypXp02b5p3btddea8GgVBsFzzd4bdlVrqYOwBsEEEAAAQQQQKAICJQoAtfAJSCAAAIIIIAAAggggAACCCCAAAIIFFKB7II5zWOpIFLDwvoVlNFL3bBhgz3++OO2ZcuW0EcKMdVq1qwZWq8Ffaags3bt2qkKyehGO3futFWrVnlDydavX9/7WNWUTZo0MQ0zu2jRougu3rL61fn4xw9uFByy9oknnrAffvjBTj/9dFNVp99Uqbl582Zv/s2qVav6q1OvCobnzp3rLQdDzmggm9qBNwgggAACCCCAQBEUIOQsgjeVS0IAAQQQQAABBBBAAAEEEEAAAQQKi0B2wZzCvwMPPNALOG+//XYvFAxem0LIm2++2Rv2ddKkScGPvHBSKzQ8rJrm0/RbdsfVdgoptY8qLjVcrt86duzovb3vvvts7dq1/mrvdevWrXb33Xd756O5NqNNoa3axIkTbfLkydasWTPr27dvaDPNvam5PBV0zpgxI/TZkiVL7Prrr/eqPRX++hWmGzdu9EJeVYXqh4YAAggggAACCBR1gV//66yoXynXhwACCCCAAAIIIIAAAggggAACCCCw1wnkJGy88sor7aqrrrJZs2bZBRdcYB06dPCCPIWQWrdr1y7r1auXHXvssaHr23///b0QUuFoy5YtveDwpptu8rbJyXEzbXPKKad4w9hOnTrVLrvsMmvfvr03hKzm69Q8mQonNaTsxRdfHDofLfghp85dIeXZZ5/tvQY31FC4PXr0sAkTJtioUaOsU6dOXtCqatYFCxZY27Ztbfbs2aEq1EznGuyX9wgggAACCCCAQFESIOQsSneTa0EAAQQQQAABBBBAAAEEEEAAAQQKkcDu3btTc14Gh12NXoIqE2+88UZ74IEHvJBP4Z/fqlev7g332rt3b39V6vWiiy7y9tPwrosXL7Yjjjgi9VlOQsFM22hOzmHDhtmYMWNs+vTp9uGHH3o/6lwB5dChQ+3EE09MOwxu5cqVTeGrqkt79uyZCj1TJ/bLm/PPP9+b+/Ott96y9957z1ur6s7Bgweb5if9+OOPvSpQf79M5+p/zisCCCCAAAIIIFDUBPZx/zG5u6hdFNeDAAIIIIAAAggggAACCCCAAAIIIFA0BVS1qcBSw8JqnkzNqVmyZMksL3bTpk3ecLe1atWKVU1muWMOPvSDWg2bq/BSQ9sq6Cyotm3bNm/uT80FqqFpK1SoUFBd0w8CCCCAAAIIIFCoBQg5C/Xt4+QRQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQKH4CJYrfJXPFCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCBQmAUIOQvz3ePcEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEECiGAoScxfCmc8kIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIFGYBQs7CfPc4dwQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSKoQAhZzG86VwyAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAoVZgJCzMN89zh0BBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBYihAyFkMbzqXjAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggEBhFiDkLMx3j3NHAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAoBgKEHIWw5vOJSOAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCBQmAUIOQvz3ePcEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEECiGAoScxfCmc8kIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIFGYBQs7CfPc4dwQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSKoQAhZzG86VwyAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAoVZgJCzMN89zh0BBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBYihAyFkMbzqXjAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggEBhFiDkLMx3j3NHAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAoBgKEHIWw5vOJSOAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCBQmAUIOQvz3ePcEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEECiGAoScxfCmc8kIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIFGYBQs7CfPc4dwQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSKoQAhZzG86VwyAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAoVZgJCzMN89zh0BBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBYihAyFkMbzqXjAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggEBhFiDkLMx3j3NHAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAoBgKEHIWw5vOJSOAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCBQmAUIOQvz3ePcEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEECiGAoScxfCmc8kIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIFGYBQs7CfPc4dwQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSKoQAhZzG86VwyAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAoVZgJCzMN89zh0BBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBYihAyFkMbzqXjAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggEBhFiDkLMx3j3NHAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAoBgKEHIWw5vOJSOAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCBQmAUIOQvz3ePcEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEECiGAoScxfCmc8kIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIFGaBUoX55Dl3BBBAAAEEEEAAAQQQQAABBBBAAAEEEEBAAmu3bbTV7mfD9m+tSpkKVrN8NWtQsZaV2GcfgBBIK7D9xx321Zb1tmbbBvtx909Wyz0zdStUd89PxbTbsxIBBBBAYO8SIOTcu+4HZ4MAAggggAACCCCAAAIIIIAAAggUK4Er3v+nC6a+Dl3zkfU72lmtB4TWZbfw3c5tdt6kkbbb/RNs5x50gvWo2y64ivd7UGDUnP/YrPWL83XE6zqeYa2rNUrbx+YdW+2xRePsuSWT7fNvV8a2qVW+qh3XuLtd1O4kF3pWjX3+zQ9b7IJ3R8XWX9j2JOta56DY+qxWzFi3yO6e+0xsk9E9LrEa5arE1rPitxN4f/Un9sTi8Tb+y+n2w487QyeiULxrnTb2xwP627GNu4U+YwEBBBBAYO8SIOTcu+4HZ4MAAggggAACCCCAAAIIIIAAAggUK4EqZSvYvz+bELrmT7/5ys5sfYzt4/7JaXv9i6k2ceVHoc1LlShp9/a4NLSOhT0rMG/jMpu0ck6+Dnph2xPT7v/uqrl22ZR7XRXexrSfa+W677+xsQtfs9dXTLWxR1xl7Ws0C21btWxF2/TDdzb36yWh9dVdKJnbkPNJF5pFr/Wg/ZoQcIZkf9uFrTu32/Dpj8R+5wTP6qfdu00hqH7OdH9sMaLTmabfJTQEEEAAgb1PgJBz77snnBECCCCAAAIIIIAAAggggAACCCBQbAQGN+1pD857KXS9q7Z+bTPXLbZOtVqF1me18PzSd2Mf96l3iO1XrnJs/d62QmHK0s2rQqfVr0Enq73vfqF1LPwqMGX1x/aHCbfYrp9+/HVlFu9Wb91gg8ddY6O6X2gnNO0R2nJwk56xkPPNFT9X+JUtWTq0baYFDXv6xoppsY+HNOsdW1dYVhS151LPytkT77DJq3Ieuj+68HVbtGmFje1zZcYhbJe4CuIP1swL3dZ21ZvHAvXQBiwggAACCBSIACFngTDSCQIIIIAAAggggAACCCCAAAIIIIBAXgTauEq3FlXq22fffhXa/aVlU3Iccmouxg/WfBLaXwsnF5KA6ZnP37H/uuFWg61ZlXqEnEGQwPsN2ze7sOrOHAec/q4alvSy9++zQ2sd4M3V6a8/vunhdtPMx0wVfH7bsvN7m/DVTBvYqKu/KsvX8StmmPYJtpL7lLDjI4Fq8PO9/X1Rey5HuqGTcxNw+vfnQxdg3jbrSbu967n+qtCrhim+6sMxoXWXtR9KyBkSYQEBBBBIRqBEMt3SKwIIIIAAAggggAACCCCAAAIIIIAAAjkTGJwmCHrtiw/sx90/5aiDF10gGgyotFPlMhXsqAYdc7Q/GxUuAc3Bqbk4o61d9WZ2Sfshdm/PS+2Kg09NO9zsDhd03j77X6Fda5WvZt3qtA2t08LLy96Prcu04rml4ZBa2/Ws2940JyjttxfQnL2qyow2Veqe1qKv3drlbLuz2/l2est+Vq1spehm9u9PJ8T+ECO2ESsQQAABBPa4AJWce5ycAyKAAAIIIIAAAggggAACCCCAAAIIBAVOcEPW3vHRv4OrvLkUp66Zb933j4dPoQ3dwvORKkh9PqhxdyuTw6FGo/2xnKzAyO4X2MDGOauQ1JnsW6pc6IReXPpeaFkL/9N6oA0/7ExT9aTfVE33wLwX7ZaZ/+evsnIly1j5UmW9KtDgPIsnumdQQ+AG24QvZ5rmcKxQOnz84DZ6rzk9J0Xmg9X6wlJJrHMt6u3tL2eZgs5gUwD9737DrVW1RqnVv2vZ1y5sd6KdMeFWW/zNl6n1Lao2MFWMq+qchgACCCCw9wgQcu4994IzQQABBBBAAAEEEEAAAQQQQAABBIqlQKNKte2Qmi1t9vpPQ9evIWuzCzk1zO28jctC+2nhpGa9YutYsXcIKGisVHrfPJ2MqntXbFkb2rd0iVL214NPCwWc/gbntTnBpq5dYJ+5wOqPBxxtp7Y40qqWreh/nHod0KiLXTV1jKnS02+aZ3P8lzMsXaWxv41eX3EVn9G5QSuWLm/9Gx4W3Iz3v6HAsu9Wx44+pPkRoYDT36BBxVp21+EX26DXr7KjG3a2M1sPsC61D/Q/5hUBBBBAYC8SIOTci24Gp4IAAggggAACCCCAAAIIIIAAAggUVwFV0kVDzteXT7XbupxjwYq7qM/zS96NrrKGFWtbp9qtYuuDK77f9YM3P9/y79baCvdTumQpq7dvDWvoAtde9Tp4FX/B7dO91xyPwaYqQv9cFZBNXbPAFm76wta4CrAa5ap4w+f6VWPBfbdH+lGf2j+4zT5uXXaVqXm9pt2224V7u4KX4r0PXk/0w0z7lNhnH1PomFT78acfY12rMrNimfKx9f6K+3pc6qoxy5vOLVOrVGZfO6p+R3tt+YehTV52QXt2IefzS+PP4AA3l6fOK6v281yy8+1LF9qu3Pq1VS1T0epVqGGqGuxS50Dbx/2Tl6bn5t1Vc+wL91yv3LLOdvy0y+q6fvXT2YV1OkamFnzmCuq5VAA8ZfUntmzzKu86NXepzkXnofOpX7FmptMJrQ+emz4IPp/Zfd92pnluarphijO19jWa2dxTHk0biGsfXZM/nHb0vPS51kXXl3G/Y7K7pwrwp69dZKu2rnc/G0xhuXyaVq7r/cFHsFJZx0nXFNT/Orusec998Ds5080humDjF7bU3Q99LzrVam293e+8TC2vv1cy9cd6BBBAoCAFkvsvjoI8S/pCAAEEEEAAAQQQQAABBBBAAAEEECjSAsc16W7Dpz+SCg50sRoG9N3Vc61PvUPSXruCthfSBEyq4swUJqjPMfNfticWv2nf/LAlbb+q9FPF30VtT8oYcqx2AUTHZ88O7f+3Q35vF7c7yV5184neNOMxL9AJbrDomxV2f8/LvFVt/n2Gbdu1Pfhx6P0f3roltLxfucr2yamPhdb5C/m9pp0u4Bzw6pW2aNNyv0vvVRW2E46/KzZcrD68beaT9s95L4S214KGopVdUk1Bb0sXAiqk8Zvm53zOhd0nZ6jeVYCZk3aCmxs2GnJOdMPQqn/N8ZquKZSa4UKjaBvSvHd0VWr5U1dVet8nz5sqlaMVoP5GTSrvb2e5IXj/1OqYLMNZf3u9rv/+G7vf3ZNnP5+Y8dlW0Nu73sH2l4MG2eH7twvu7r0vyOdS368x81+ypz972xt+OnYwt0Ln06f+oXauO5+uddqk28Rbl9/vW7vqTWN967x+74anjQ6H7G+YruLX/+ysd/5ub381y1+Mveq7Ef1+vHPCaDvAPbvpmp6zhxe8YpNXznW/1YIR5a9b71+hujvfo+zsA4/zws9fPwm/6/3iJbb8uzWplZobVsPyfrJhqV037WFTyBlsmpP2o1PGBld57/P7eyXWISsQQACBBARKJNAnXSKAAAIIIIAAAggggAACCCCAAAIIIJArAVU69qgbD11eWjolYz8z1y12VXDrYp9nGqpWId4xr/zV7v34uYwhkDpTOPPgvJds4Gt/s8+/XRnrP6sVCk//MukfsYAzq33y81lBXJOCw/t6XhqrFFWV660zn4idno750IKXY+s1z2aSAad/wA41mvtvU69//eCfds/H/7Wdrmoxr62vC9uigaj6G7d8WsYu080PqirFLrUPSrvPK1+87z2Dz7l5ZDMFnNpx2ebVdr0LpM54+9bYXJLpOtaQvP1evtz+d/4rWT7bP+3ebe98NdtOffNGGz332XRdFci6OV9/bv1fGebuyXMZA04dSOejuU+HvDHcm5dXy7lpOf2+dajRItatnuMhb9xg89MMdx3bOKEVegb0xx2nv3Wzm9d1TsaAU4dX0PuPj572np/gfKE5OTUFnCe8fk0s4My0b0H8XsnUN+sRQACBghQg5CxITfpCAAEEEEAAAQQQQAABBBBAAAEEEMizwOCm8Xk031wxPTRPYrDzdMOEam5PVcFFm4bCHfT61WlD0ei2/vIXLmga9NrVOQ4s33GVXaqU2lOtIK+pdbVGdrWrRI22xxe9YR+umZdarSqzKz94MBbQqcrszm7npbZL8o3m2YwOBashOm+f/ZR1evYcL5jVXK25bQp7B7phZqNNFZeZWrrhkjX0crqhcR9d+LqdO2mkNxRxpv6i6xVInjb+pph3cDuFhKe8OTzLMDG4vd7rPt7x0b/tRldxXNBtyuqPvUDtqy3rc9y1zkeh63mTR+Z4n9x83+rsu5+d1qJvrG8vjH35Cjt1/Ah72c2tqqFZ91TTcLd/mHCLq+B8NVeH1DCzx776N/soModxpk70xwqqPNWQvjlpBfl7JSfHYxsEEEAgPwKl8rMz+yKAAAIIIIAAAggggAACCCCAAAIIIFBQAkc3PMybCzP4f8Z/t3ObvbNyth3dsHPoMKqAesWFEtE2pFnv6CqvEu78yaNs687w8LCa306haJ/6h7hQqoTN27DM3lgxLVQN+O2OLXb5lPvs6f7DMw6B6x8w3bCl/mcF/SqXgr6msw86zia4oPZ9N3+i3xQ+DXv//tSwtU8uHm+z1i/2P/ZeFejd0+MSq+LmlMxJ03DBa7/flJNN3ZCtA2JzfGp+whs6nmFXT30o1oeGbPWHCm1VraGrLO1rpzbvE6vQjO34ywrNv6lhTIPt/TWf2Mbtm01DBgfbPFcBmC5MTVdJ/PGGJTZixqPB3b33Giq1+/5t3dCxbW2DO4Zsg/7aSGGWhre9tP2Q2P6ay/OSKfdkDEE1bHPJEiUyfq4hUnW+bfZrEus7LyvWuft6weS7Qt+haD+atzZTFauGelY1qp7F7Fpuv283HnaWfeDupUK/YNMz/t6qj70f3Q/9Hjqj1dHWsVbW8/oG+8jL+1Fz/uPmTp2bcdesnDTU9bkuEB4/aGS237vg0LUZD/bLB0n8XsnumHyOAAII5EeAkDM/euyLAAIIIIAAAggggAACCCCAAAIIIFBgAhVLl7d+DTt5FVXBTlVJFw05J7rgU3PGBVvpEqVsUJPDg6u895ofMzqsbcOKte35Y24xVSAGm+ZLVDXZok0rUqtVmfaWq5br16BTal1Wb1Rl+DsXrmmuwU4uKNn4w2ab64bv3LxjW2q3CceP8obq1IqL3xttqp4Kttu7nWvd67RNrVIIG2xJXJMCsdGHX2x9XrrUm4fSP54/bO0lLmS7bdaT/urUqyoru2Uxn2Jqw1/eKPDTT06aHEuXif9fmH90IdQON5TszTMfzxiY6R6OcEOB3uEqPE9z84RqztQKpctledhuzlxzFCqs85sCOc3V+YcD+vurvFcNORtt7ao38+YMDa7XEKwXvnt37Dz7Nuho/9v7r7Fhgt/6coZd9O7o0DC1d819xv7ojh8NWq9xQW+6uWX1rGqOUc27ua97HvV86Y8FNAxzsGl0WP2xgB9y5ve5vG7qw/b19m+Dh/Ded659oAuc+7jnpK3V3reaC3M/9QK+B+a9GKvUvmXW/3m/BxpVqhPrJ92KnHzftJ/u/TP9b3LDSd9pquBM1xQeqkJcPzK5vtMZaecuVdXytl+qPhWKK4QONtlf0eHU4CqrX7Fmallzymp45Wgr66qJz3Xfpx4u9D605gFe8K3fP099NsGmr10Y2lyVsqrEHdX9wtD6rBaOa9zd+rsQt5ebp3OXqyT91M0TPHXNgtQuSfxeSXXOGwQQQCABgfB/HSVwALpEAAEEEEAAAQQQQAABBBBAAAEEEEAgpwKD3VCf0Tbhy1kuUAhXYaYbqvZIFypWLRuuJlQAFA2jqpWtZP/qd30s4NRxW1ZtYI/0udoqld43dBrRPkIfBhb8oPCmzv9jvet18IKVBhVr2bGNu9nvWvZNbakAR8Pq6qdpmuF1Va3of67XRpVqp/ZN8poU+v69619Sx/LfaNja/m7Ox807tvqrvNf2NZrZlQf/LrRuTy38+cBj7cVjbjUFi1k1PTtjF75m/dwckdkN8amq1OObxoPy6JC1Ci6j63QO6ao4J636yJZE5nY92FUQP9hrWCzgVB9HuYByZPcL9DbVvMplV+UYbKri1JCt0Xayq2Z+5Mir7HgX+Fd31acKAVUter2rfv3rwad5m2vuUflNHnyPXX3o6aku8vNcrt220auETnX2yxuFuU/3G25DXUWtgj79MUIXF3pe6c5lbJ+/xQx0rf/69K1oN2mXc/p983fW8V8ccJtd0HawC3+zDrxVqau5SxUkajjkYKvthr8Nfj+Dn+l9k0o/f7eD2+i6/fbEp+NTf+Tgr9N9evzIaz2Xru6PBjR8sr6PQ5of4fxGuGCyg79p6lVzwqraPCftTFcV/WDvYaZqZYXltcpX9QLcKw7+OYxN8vdKTs6PbRBAAIG8CBBy5kWNfRBAAAEEEEAAAQQQQAABBBBAAAEEEhE4ot7BsaBSIZWCTr9t2fm9jV8xw19MvaYLmJ5bOtl+iAQUClcUImZqChQHNO4S+ljzHmYaYjO4ocKTgY3j8zoGt8nv+6SvSeGY5pUMNg3puc4NBRtsConu63mZaVjN36opLBx33J1eCKQwLatz0Ryrg8ddZws3Lc/ydKPXro2nrV1gCvH8pmFPg8tar2Orgi/anlocD+zuOvzC2Lyiwf30DKnaONjGrZgaXLRnP58YC8q61jnIRrm+Ff6laxry9rEjr7bZQx82Dd/arEq9dJvlad0z7nw0z2Sw6f48fMSVsSDT36ZPvUPsrjSViP/57J1YX/4+wde8fN8UNl5z6B9s+pAxNqzDKaEKy2Dfeq/n/iE3vLKGBC6opt9HLyx5N9bdP3tdbj3qtout1wpVeD7q7pvmzg029ZVuXtjgNnp/WO3WNqLTmdHVoeWkf6+EDsYCAgggUEACv/75SAF1SDcIIIAAAggggAACCCCAAAIIIIAAAgjkVUABxLGNutmTrtIp2FQ1N6hJd2+V5s0MztuplargPMqFXNE2Y+2i6CpvLsfHFo2LrQ+u2BgZClfH0xCmdSvUCG4We68qqaTbnrim27qc4wV7qhbM1BSSZRUWZ9ovifUKh/SjeS0V/un5WeZCzWjb6Ya4vcgNHatgNFhZF9xOlaG6rqWbV6VWq3LzFVdJqepHtXSVxKq0q1GuSmof/026uSPPmXhnhhjS38u8YY5/XTJbEZlLcr6rNIw2DeusuWazaqoUTaJ9smFprNtj3PlkcvY3PrrRz9vo3vhNQ96u3rohywBS2+bn+6aK7stdyHlZh6H24Zr5pvlmNSxxuj9meNkN6Stb/QFAfpueS819GWwaSleBb1ZNQWc/N9RsNKT/OI17tB8NU5vVHwBo+z3xeyV6XiwjgAAC+RUg5MyvIPsjgAACCCCAAAIIIIAAAggggAACCBSogKrhoiGn5hPcunO7N/yrhmiMNv2f+OnClK+2ro9u6i0vdnNv5ratcZV8WYWc5UqWseZV6ue221xvvyeuScOZju5xiZ38xvVpz29Aoy6h4XfTbpRh5cBGXdMOCZtucw3hmZum4VnPbXO8nXPQIG842eunPRybu1Uh0RMu0DrLDd+ZqSk8GznnP6GPX/0l5FQY9/oX4apKbahhYqNN4Xi6OSo192tu2+pAJan2XZUmgO5Uq3Vuuy2w7Vem+a6psjS7pu9N+xrNbea68B8kqL/gPJbRfgrq+6aqV80pqx/Nc6l5XnWvo+069yzpDy0yVclGt8+0nP6+tco2hFR/GuZ3dKTjdO6RTdyQzk2jq2LLe+L3SuygrEAAAQTyKUDImU9AdkcAAQQQQAABBBBAAAEEEEAAAQQQKFiBLnUO9MLEYBigOfHed0OEKjSZsvqT2AFPbtYrtk4r1rvqy4Jq0erRaL8tqtbPUVAR3S+3y3vqmjq7QCVT+13LozJ9lO16BaQKOpNsmltTQeXBLjw7fcItsapOb27OLEPOnrGQc/b6T03zFs75+vNYJZ7mcO3vquyibX1kiN/o57lZ1ndAFaW6NrV04WlL9wz+Vi3d+bSq1jBHp6NhWKMh59fff5vlvkl83xSqjul9hd019xn7x0dPh46/0VUJL9+8xhqnmUM3tGE2C19vDw/7rM1bRYahzdRFdLhabfd1Dp6xnPS/p36vZLo21iOAAAJ5ESDkzIsa+yCAAAIIIIAAAggggAACCCCAAAIIJCagSikNC/nAvBdDx3j7q1lufs0dFhzWUhs0qlTHOtZqFdrWX9DwoarOCjbN3VilTIXgqhy9z6qqTB2UKVE6R/3kd6M9dU2aizBTGz79Ees6aKSpmu63aKrq1RDGCr7v7XFpKviLnosCqb+6OVjPnzwq9NGCbOblbOL26+ACUgWaftN8k5NXzbGpbn7OaDu2cTdv3sToelWWpmvp5o9Nt11wnZ4vP+DU+nTPweJvVrjzbhHcbY+9r1Guauy7tmDjFxm/m8ET03bRVqN8fOjf4DZ5+b5pSN1/ffqW9a7XwRt+Nthf8P1l7YfaC65ifMm3K4OrTc9NfkPOGuWrhvrUQrrrj22k7TZ9EVudrr/oRhrqNruW7nlK6ndldufC5wgggEBOBQg5cyrFdggggAACCCCAAAIIIIAAAggggAACe0zgxKY9YyHnxK9m27pt8crMTFWcOtl6FWqGgiqt+5/WA61n3fZ6WyjbnrgmDed7+0dPZfRR+HPLzP+zWzr/OeM2SXww5+vPvJBKAaeCTrXD929rp7Xom/FwGuIz2qLhVfRzLQ92z2Aw5NS6V9zcjB+5c4i2TKHlvqXKmeZ+3BSY41VzI97e9VzL7VC80WOmew5mrFv8m4Wc9SrWcF5hGwXCmf4Awb+e73f9YHM3/Bom++vrV6zlv83Xq+a/1BDXCjf9eUPfXTXXjqx/aNohrv2D6bmJPifRZX/b3LzqvkXbTHffNBdodvNmTl0TD9iz++OL6LEyLad7ngr778pM18p6BBAoOgJZz0JddK6TK0EAAQQQQAABBBBAAAEEEEAAAQQQKEQCB+7X2FpWbRA645VuDsLxX84IrdNCpoBJn7Wp3kQvofaOqwjNrmn+zc8jVVzZ7ZP3z38efjS4//Lv1gQXQ++TviaFLZe8N9o0PGpW7bGF40xh0Z5qGqp12Pv321OfTkgFnDr2nW5YUQVlmdrHG5bEPqrs5hzNrg1y1cQl9wn/36fjVkwzPRvBppBJQyxnatH7Jd+cuM3fuCwUjkb7j/arz99YPtULy6LbBpcfX/SGzYjMfxn8/Nf3uXsuVfkabeOWT4tVXke3eT3NOddy1Y519t0vummeliet/Miu+nBMKuBUJ/p+ySGrlv65iVeAp5ujc8WWtRm7buIqzytHKsm37dpuE76amXEffaDhssd/OT22TfvqcffYRjlYke552vt+V+bgQtgEAQSKlUD4f6WL1aVzsQgggAACCCCAAAIIIIAAAggggAACe7OAKumya53cMLUarjZTG9LsiFhQ9b8LXrUnF4/PtIutc3PcDXnjBjvixYvtvMkjbdGmFRm3LYgPaqYZvnKiC2aCbbf9/I/WJX1Nd899NhQI6ZgVSpez6BydOqPLptxr3+7Yok0Sbxqq9apDfh87zloXOo6Y8WjacE9zaD4476XYPo0r7R9bF12hoK27qxLNrp3YtJcbYDkeCPr7ndr8SP9t6vWS9+6xuV/Hw1d/g2muAvKE16+1zv/9i9026wnb4OaDjDY9B8Hha/W5KieHvX+f97REt9fy2IWv2TVTH3J9X2MDX/2bvewqUxW6pmu5fS5PducTrURUZedZb//dDTOdPjCf8OVML7iOHv+UFkfGvrfRbXK6rKGE21VvFttcz/k8FySna6998WHsO6DtGleO/65J5zR55ZzYPdBwx2pl3NCx6f4wQ0MqT3L7pWsKOP/09m2x30UaLlpzzxZES/r3SkGcI30ggAACUYGSI1yLrmQZAQQQQAABBBBAAAEEEEAAAQQQQACB31pg/wrVbeyC17I8jUvanWztasQDDH+nSq5iT0FGtCrznZWzvKEqFVBoOFG19S7cVDXVFa5aUNvvdus0bOsTi9+0LTu/t15uHj+/afmhBa/4i95r3Qo17LSWmYdNDW0cWFiVpkJVw2Kq2k7zjyq4uvrDh9w8pd29OTCTuiadkoK3y96/11Q1GWzDO/3JCxifXTLRVHXmNzloztOBjbv6q0KvGlY2OsTnwEZdrVW1RqHtcrrQrEo9e89Vj8os2FR19+aK6bbLBUnbf/zBPvv2K1OFoELYRW6eymg7t83xdkjNltHVseWfXH/qN6t2Z7fzbL8Mc29qv6aV69pTn00Iue34aae9tvxD0zOjZ1DD2qot3bzKG1pVFatbnbPuv56DxxaN8/oJVjfrOdDwq0vcPsGmeSPnuzkuFbxqvsbd7l6+t3quPbLwdRvtgj3/zqoiVefwqXvGB7lnK9py+1wqCFdf+s4E27LvVru5U+e5Z+onq1x6Xy/k+3DNfG/42OHTH41VepYuUcpGdr/QqpatmOomP983OTSsVNueWzI51Z/eKDh8+rO3baMLkLfu+t77jk9Z/bHd/8kL9o85T4e21YLmV72189kuWA7XDWlZ4XGwbXOVxa+7KlYdQyZ3zX3GypUqYy2q1Pc2q+eqf/WHFvpDAb8pBH11+QepqmSF7Ppu6Tke4ZzSzQU7pPkRdlzk3ulcon94cGn7IdmGxkn+XvGvkVcEEECgoAVKFXSH9IcAAggggAACCCCAAAIIIIAAAggggEBBCDSsWNubz29mhqE1VRF1XJNu2R7q1i5nu6BoYagaTiHe32f/y/vRsJhV3PCR0XDG71jVacc3KZhqKb/P4Gu6KjOdn4Y0zTSsaRLXpGo7DVMbrezTnIpntDrGqxq8rcs5dvbEO4Knbwoy+zc8zBkdHlqf1MI1h/7BBo+7Ntb9QhfuXT/t4dj66AoFhae06BNdnXb5mEZdvKFOM1UiaohWBa9ZNT2ndx9+sZ3+1s2hUEtVphe+e5e3q85p846tsaFw/X5rlqtqver+GrL7639+DhbFhrVVMKsfBXwlS5SI3VN/fz3bwzqc4i+GXvPyXN7iQsBpaxeaqmuDTd9h/3us6tNoiB7c9rqOf3TV2bWDq/L9XnPwHr5/O1OIGWx61hX+6ie7dvWhp8cqVbVPAzd3qAJZ3c9gW+Sex5tmPJZapUDSbwe4+33Fwafa7bPD895qiOj7Pnne+8nOSce9odMZfpcF8prE75UCOTE6QQABBDIIhP/sJMNGrEYAAQQQQAABBBBAAAEEEEAAAQQQQOC3EMhqKMaj6nd04eSv1V6Zzk8h5r09L00bUGgfVbRlCjgVEt142FnWPotq0UzHzel6zT+abvjKrPZP4pr+3+wnvQrI4HEV0P2j+/mpYVEHuNDvuMbxqj9Vmkbnqgz2U5DvD6vd2i5ud1KeulTV5BN9r7NKrqIwJ03b9W3QMeOmJzfrnfGz4Ae9XRXwZR2GBleF3qvaL5NfxdLl7YHel5sq7aJNlaCje1yc8dlWpWA0tPb70LM9vNOZGatq8/Jcqtrxn70u9yqO/eNEX7MKOPVs/fnAY6O7FMjy7V3/YvWcV17ahW1PtNNapK/SVhipYDa37cK2J2X5bGXlpMrfB3sPi83tmdtziG6fxO+V6DFYRgABBApSgJCzIDXpCwEEEEAAAQQQQAABBBBAAAEEEECgQAUUekTn+fMPkJtgUFVwLx5zqzc8qL9/dq/lS5W1Mb2vcFWMR2e3ab4/v8ENB9ukcvbzRAYPVJDXpOFDH57/arB7772GA/aH2PQ/VLVXdHhWDY95+ZTMc0H6+xbU69/c3JwjXECnoU1z2jT88eNHXmv13VChuWmZ5ob9ucI359WrqphUYFzWBcc5bapofGnA/7MONVpk3BBabLkAAAq0SURBVOXI+ofas/1vstouzM9p01yOCsnOaj0gy13y8lx2qX2gvTLw727+ypw/zwpcL2s/1AtIszyhfHyo85Fl2+pNc9yLzuv0A/rZVYf+Pst9TnVziB7dsHOW20Q/VDj6SJ+r7IK2g91RMs/pGt2vuascfu3Y27N8JqL75Ga5IH+v5Oa4bIsAAgjkRYA5OfOixj4IIIAAAggggAACCCCAAAIIIIAAAntEYF8XNM5e96lpXr9g0zyad7i5EKPz4wW3ib5XyDWkeW83fGdJW7Z5dWiOxOC2CoA0tOTdrkKuS50Dgx+l3udnjsBUJ4E3qsz6fct+pnn5NOyq5mwMtlbVGnqflykZDvUK4pp0Lb9/6yY3j9/W4CG9Cr97e1wSM9Y9UUWc5nMMtuXfrXHzFlYJhS8FPSdn8HiH1jrAVOm7zs2l+oU7tuzSNYWaGuL27sMvylXI7ffVyA2b/KibEzM6ZO2RrpI4t3OwKmA72lXDas7Gpd+ucnOI/ugfJvSqitO/HDTIm5syJ6Gs5nhU6F/C/fPzs/1DqD9/QcG9AjlZdKlzkL8642ten0ud/1D3HdKzonvz3c5taY+hoLh/g8O877K+c/u44C9dK6jvm6phf9fyKNP35tNvvorNXekfWwHk8e7ZUlWqvLILIfW5hmtWKD13w+fe/J5+X3pVAH1q8z6x50/H6eGG0u3q7oW+f1+430vBeTqDfWh42vPanOCeiQu88w9+Fnyf1zk5g30UxO+VYH+8RwABBJIS2MdNPP3r7MZJHYV+EUAAAQQQQAABBBBAAAEEEEAAAQQQ2IsENITnB2vmmYK5r7as98KmehVqeuFdZ1eJpjn2fsumoUuXbl7lDftZ34UbtVxolF3b268pu/PPz+dbd263d1fPdQHfKi/01DCzzSrX9ebLbF2tUcZq4PwcM7/7qvr1A1dBq+dv5db1Vr6kC48r1jDNRavQKzdVqsFz0XPw/ppPbMV3a12/X9vOn3ZZffdsKyTT/Kr5ebbz8lxq2NVpaxd44auuc6sL1TXMrr5vnWq3cs92teDp79H3izatsOnu3NZ8v8m2ufNqVKmONa1S1/TM5Oe8dG8/cyHqLhe87+8CTvWbkyZfzV2q+7ba/VR0z7GeiSbuWT6sVuvUsNE56augtinOv1cKypB+EEAgOQFCzuRs6RkBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBIQYE7OBFDpEgEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEkhMg5EzOlp4RQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCABAULOBFDpEgEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEkhMg5EzOlp4RQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCABAULOBFDpEgEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEkhMg5EzOlp4RQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCABAULOBFDpEgEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEkhMg5EzOlp4RQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCABAULOBFDpEgEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEkhMg5EzOlp4RQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCABAULOBFDpEgEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEkhMg5EzOlp4RQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCABAULOBFDpEgEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEkhMg5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+ ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "EmPJkpOCckyh" + }, + "source": [ + "## Getting started\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "IR54BmgvdHT_" + }, + "source": [ + "### Install the library" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "0ZITIDE160OD" + }, + "outputs": [], + "source": [ + "%pip install --upgrade --quiet langchain langchain-google-vertexai \"langchain-google-community[featurestore]\"" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "v40bB_GMcr9f" + }, + "source": [ + "To use the newly installed packages in this Jupyter runtime, you must restart the runtime. You can do this by running the cell below, which restarts the current kernel." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "6o0iGVIdDD6K" + }, + "outputs": [], + "source": [ + "import IPython\n", + "\n", + "app = IPython.Application.instance()\n", + "app.kernel.do_shutdown(True)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "be453ee45565" + }, + "source": [ + "## Before you begin" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "fb8ebc778a77" + }, + "source": [ + "#### Set your project ID\n", + "\n", + "If you don't know your project ID, try the following:\n", + "* Run `gcloud config list`.\n", + "* Run `gcloud projects list`.\n", + "* See the support page: [Locate the project ID](https://support.google.com/googleapi/answer/7014113)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "3f00771c2519" + }, + "outputs": [], + "source": [ + "PROJECT_ID = \"\" # @param {type:\"string\"}\n", + "\n", + "# Set the project id\n", + "! gcloud config set project {PROJECT_ID}" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "0c8db9870db1" + }, + "source": [ + "#### Set the region\n", + "\n", + "You can also change the `REGION` variable used by BigQuery. Learn more about [BigQuery regions](https://cloud.google.com/bigquery/docs/locations#supported_locations)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "afbc16ea31fc" + }, + "outputs": [], + "source": [ + "REGION = \"us-central1\" # @param {type: \"string\"}" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "1af54eb03565" + }, + "source": [ + "#### Set the dataset and table names\n", + "\n", + "They will be your BigQuery Vector Store." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "259862ba68b1" + }, + "outputs": [], + "source": [ + "DATASET = \"my_langchain_dataset\" # @param {type: \"string\"}\n", + "TABLE = \"doc_and_vectors\" # @param {type: \"string\"}" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "445325c9b3bb" + }, + "source": [ + "### Authenticating your notebook environment\n", + "\n", + "- If you are using **Colab** to run this notebook, uncomment the cell below and continue.\n", + "- If you are using **Vertex AI Workbench**, check out the setup instructions [here](https://github.com/GoogleCloudPlatform/generative-ai/tree/main/setup-env)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "d9ff48bb5b3c" + }, + "outputs": [], + "source": [ + "# from google.colab import auth as google_auth\n", + "\n", + "# google_auth.authenticate_user()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "AD3yG49BdLlr" + }, + "source": [ + "## Demo: VertexFSVectorStore" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "7b62754dfe6b" + }, + "source": [ + "### Create an embedding class instance\n", + "\n", + "You may need to enable Vertex AI API in your project by running\n", + "`gcloud services enable aiplatform.googleapis.com --project {PROJECT_ID}`\n", + "(replace `{PROJECT_ID}` with the name of your project).\n", + "\n", + "You can use any [LangChain embeddings model](/docs/integrations/text_embedding/)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "Vb2RJocV9_LQ" + }, + "outputs": [], + "source": [ + "from langchain_google_vertexai import VertexAIEmbeddings\n", + "\n", + "embedding = VertexAIEmbeddings(\n", + " model_name=\"textembedding-gecko@latest\", project=PROJECT_ID\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ee602c76f7e6" + }, + "source": [ + "### Initialize VertexFSVectorStore\n", + "\n", + "BigQuery Dataset and Table will be automatically created if they do not exist. See class definition [here](https://github.com/langchain-ai/langchain-google/blob/main/libs/community/langchain_google_community/bq_storage_vectorstores/featurestore.py#L33) for all optional paremeters." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "9db48a734ad8" + }, + "outputs": [], + "source": [ + "from langchain_google_community import VertexFSVectorStore\n", + "\n", + "store = VertexFSVectorStore(\n", + " project_id=PROJECT_ID,\n", + " dataset_name=DATASET,\n", + " table_name=TABLE,\n", + " location=REGION,\n", + " embedding=embedding,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "0017a81d6a85" + }, + "source": [ + "### Add texts\n", + "\n", + "> Note: The first synchronization process will take around ~20 minutes because of Feature Online Store creation." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "ebe4f493008b" + }, + "outputs": [], + "source": [ + "all_texts = [\"Apples and oranges\", \"Cars and airplanes\", \"Pineapple\", \"Train\", \"Banana\"]\n", + "metadatas = [{\"len\": len(t)} for t in all_texts]\n", + "\n", + "store.add_texts(all_texts, metadatas=metadatas)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "524cf1357bf3" + }, + "source": [ + "You can also start a sync on demand by executing the `sync_data` method." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "a8126ade72c1" + }, + "outputs": [], + "source": [ + "store.sync_data()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "3ddb1e1a5083" + }, + "source": [ + "When in a production environment, you can also use `cron_schedule` class parameter to setup an automatic scheduled synchronization. \n", + "For example:\n", + "```python\n", + "store = VertexFSVectorStore(cron_schedule=\"TZ=America/Los_Angeles 00 13 11 8 *\", ...)\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "42d2e7e6a71d" + }, + "source": [ + "### Search for documents" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "54785b0aa3e2" + }, + "outputs": [], + "source": [ + "query = \"I'd like a fruit.\"\n", + "docs = store.similarity_search(query)\n", + "print(docs)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "bfcdbc4d3e01" + }, + "source": [ + "### Search for documents by vector" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "3d0749a5919f" + }, + "outputs": [], + "source": [ + "query_vector = embedding.embed_query(query)\n", + "docs = store.similarity_search_by_vector(query_vector, k=2)\n", + "print(docs)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "40ae268fe9f0" + }, + "source": [ + "### Search for documents with metadata filter" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "8f65b86ada37" + }, + "outputs": [], + "source": [ + "# This should only return \"Banana\" document.\n", + "docs = store.similarity_search_by_vector(query_vector, filter={\"len\": 6})\n", + "print(docs)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "0fc8bfef534e" + }, + "source": [ + "### Add text with embeddings\n", + "\n", + "You can also bring your own embeddings with the`add_texts_with_embeddings` method.\n", + "This is particularly useful for multimodal data which might require custom preprocessing before the embedding generation." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "fa2f749e91d2" + }, + "outputs": [], + "source": [ + "items = [\"some text\"]\n", + "embs = embedding.embed(items)\n", + "\n", + "ids = store.add_texts_with_embeddings(\n", + " texts=[\"some text\"], embs=embs, metadatas=[{\"len\": 1}]\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "82a5d2842835" + }, + "source": [ + "### Batch serving with BigQuery\n", + "You can simply use the method `.to_bq_vector_store()` to get a BigQueryVectorStore object, which offers optimized performances for batch use cases. All mandatory parameters will be automatically transferred from the existing class. See the [class definition](https://github.com/langchain-ai/langchain-google/blob/main/libs/community/langchain_google_community/bq_storage_vectorstores/bigquery.py#L26) for all the parameters you can use.\n", + "\n", + "Moving back to BigQueryVectorStore is equivalently easy with the `.to_vertex_fs_vector_store()` method." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "2d7997776d40" + }, + "outputs": [], + "source": [ + "store.to_bq_vector_store() # pass optional VertexFSVectorStore parameters as arguments" + ] + } + ], + "metadata": { + "colab": { + "name": "google_vertex_ai_feature_store.ipynb", + "toc_visible": true + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.9" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +}