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docs: Update Vector Store docs formatting (#30359)
Description: Fix formatting in Vector Stores docs. - astradb: fix API ref spacing - milvus, pgvector, pinecone, qdrant: removed % in cmds for docs consistency - pgvector: removed redundant code and reorganized imports --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>
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@ -505,7 +505,7 @@
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"source": [
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"source": [
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"## API reference\n",
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"## API reference\n",
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"\n",
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"\n",
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"For detailed documentation of all `AstraDBVectorStore` features and configurations head to the API reference:https://python.langchain.com/api_reference/astradb/vectorstores/langchain_astradb.vectorstores.AstraDBVectorStore.html"
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"For detailed documentation of all `AstraDBVectorStore` features and configurations head to the API reference: https://python.langchain.com/api_reference/astradb/vectorstores/langchain_astradb.vectorstores.AstraDBVectorStore.html"
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]
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}
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}
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@ -36,7 +36,7 @@
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}
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}
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],
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],
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"source": [
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"source": [
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"%pip install -qU langchain_milvus"
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"pip install -qU langchain_milvus"
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]
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]
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@ -113,22 +113,19 @@
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": null,
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"id": "979a65bd-742f-4b0d-be1e-c0baae245ec6",
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"id": "979a65bd-742f-4b0d-be1e-c0baae245ec6",
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"metadata": {
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"metadata": {
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"tags": []
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"tags": []
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},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"from langchain_core.documents import Document\n",
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"from langchain_postgres import PGVector\n",
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"from langchain_postgres import PGVector\n",
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"from langchain_postgres.vectorstores import PGVector\n",
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"\n",
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"\n",
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"# See docker command above to launch a postgres instance with pgvector enabled.\n",
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"# See docker command above to launch a postgres instance with pgvector enabled.\n",
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"connection = \"postgresql+psycopg://langchain:langchain@localhost:6024/langchain\" # Uses psycopg3!\n",
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"connection = \"postgresql+psycopg://langchain:langchain@localhost:6024/langchain\" # Uses psycopg3!\n",
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"collection_name = \"my_docs\"\n",
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"collection_name = \"my_docs\"\n",
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"\n",
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"\n",
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"\n",
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"vector_store = PGVector(\n",
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"vector_store = PGVector(\n",
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" embeddings=embeddings,\n",
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" embeddings=embeddings,\n",
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" collection_name=collection_name,\n",
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" collection_name=collection_name,\n",
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@ -169,6 +166,8 @@
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}
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}
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],
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],
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"source": [
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"source": [
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"from langchain_core.documents import Document\n",
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"\n",
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"docs = [\n",
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"docs = [\n",
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" Document(\n",
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" Document(\n",
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" page_content=\"there are cats in the pond\",\n",
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" page_content=\"there are cats in the pond\",\n",
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@ -26,7 +26,7 @@
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},
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},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"%pip install -qU langchain-pinecone pinecone-notebooks"
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"pip install -qU langchain-pinecone pinecone-notebooks"
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]
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]
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@ -56,7 +56,6 @@
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"source": [
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"source": [
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"import getpass\n",
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"import getpass\n",
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"import os\n",
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"import os\n",
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"import time\n",
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"\n",
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"\n",
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"from pinecone import Pinecone, ServerlessSpec\n",
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"from pinecone import Pinecone, ServerlessSpec\n",
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"\n",
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"\n",
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@ -32,7 +32,7 @@
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},
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},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"%pip install -qU langchain-qdrant"
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"pip install -qU langchain-qdrant"
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]
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]
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},
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},
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{
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{
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