Harrison/weaviate retriever (#2524)

Co-authored-by: Erika Cardenas <110841617+erika-cardenas@users.noreply.github.com>

docs/modules/indexes/retrievers/examples/weaviate-hybrid.ipynb

@@ -0,0 +1,132 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "ce0f17b9",
+   "metadata": {},
+   "source": [
+    "# Weaviate Hybrid Search\n",
+    "\n",
+    "This notebook shows how to use [Weaviate hybrid search](https://weaviate.io/blog/hybrid-search-explained) as a LangChain retriever."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "c10dd962",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import weaviate\n",
+    "import os\n",
+    "\n",
+    "WEAVIATE_URL = \"...\"\n",
+    "client = weaviate.Client(\n",
+    "    url=WEAVIATE_URL,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "f47a2bfe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain.retrievers.weaviate_hybrid_search import WeaviateHybridSearchRetriever\n",
+    "from langchain.schema import Document"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "f2eff08e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "retriever = WeaviateHybridSearchRetriever(client, index_name=\"LangChain\", text_key=\"text\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "cd8a7b17",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "docs = [Document(page_content=\"foo\")]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "3c5970db",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['3f79d151-fb84-44cf-85e0-8682bfe145e0']"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "retriever.add_documents(docs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "bf7dbb98",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[Document(page_content='foo', metadata={})]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "retriever.get_relevant_documents(\"foo\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b2bc87c1",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "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": "3.9.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}