langchain/docs/modules/indexes/vectorstores/examples/qdrant.ipynb
Harrison Chase 705431aecc
big docs refactor (#1978)
Co-authored-by: Ankush Gola <ankush.gola@gmail.com>
2023-03-26 19:49:46 -07:00

106 lines
2.3 KiB
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{
"cells": [
{
"cell_type": "markdown",
"id": "683953b3",
"metadata": {},
"source": [
"# Qdrant\n",
"\n",
"This notebook shows how to use functionality related to the Qdrant vector database."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "aac9563e",
"metadata": {},
"outputs": [],
"source": [
"from langchain.embeddings.openai import OpenAIEmbeddings\n",
"from langchain.text_splitter import CharacterTextSplitter\n",
"from langchain.vectorstores import Qdrant\n",
"from langchain.document_loaders import TextLoader"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "a3c3999a",
"metadata": {},
"outputs": [],
"source": [
"from langchain.document_loaders import TextLoader\n",
"loader = TextLoader('../../../state_of_the_union.txt')\n",
"documents = loader.load()\n",
"text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)\n",
"docs = text_splitter.split_documents(documents)\n",
"\n",
"embeddings = OpenAIEmbeddings()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "dcf88bdf",
"metadata": {},
"outputs": [],
"source": [
"host = \"<---host name here --->\"\n",
"api_key = \"<---api key here--->\"\n",
"qdrant = Qdrant.from_documents(docs, embeddings, host=host, prefer_grpc=True, api_key=api_key)\n",
"query = \"What did the president say about Ketanji Brown Jackson\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a8c513ab",
"metadata": {},
"outputs": [],
"source": [
"docs = qdrant.similarity_search(query)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fc516993",
"metadata": {},
"outputs": [],
"source": [
"docs[0]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a359ed74",
"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
}