{ "cells": [ { "cell_type": "code", "execution_count": 21, "id": "d029ad67", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[460823023525530114, 460823023525530115]" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from langchain_milvus import BM25BuiltInFunction, Milvus\n", "URI = \"http://10.10.10.9:19530\"\n", "tongyiKey = \"sk-9464b2498c184982a9fe9d2c2e725ab5\"\n", "from langchain_community.embeddings import DashScopeEmbeddings\n", "embeddings = DashScopeEmbeddings(\n", " model=\"text-embedding-v3\",\n", " dashscope_api_key= tongyiKey, \n", ")\n", "vectorstore = Milvus(\n", " embedding_function=embeddings,\n", " connection_args={\"uri\": URI, \"token\": \"root:Milvus\", \"db_name\": \"bbit_ai_lab\"},\n", " collection_name=\"knowledge\",\n", " index_params={\"index_type\": \"FLAT\", \"metric_type\": \"L2\"},\n", " consistency_level=\"Strong\",\n", " auto_id=True,\n", "\n", " primary_field = \"id\",\n", " text_field=\"text\",\n", " vector_field=\"vector\",\n", " partition_key_field = \"kn_id\",\n", " enable_dynamic_field = True,\n", " drop_old=False, # set to True if seeking to drop the collection with that name if it exists\n", ")\n", "\n", "from langchain.schema import Document\n", "\n", "docs = [\n", " Document(\n", " page_content=\"这是第一条文本\",\n", " metadata={\n", " \"kn_id\": \"8ecd1179-4194-4b80-bc39-5addc678df4b\",\n", " \"is_active\": True,\n", " }\n", " ),\n", " Document(\n", " page_content=\"这是第二条文本\",\n", " metadata={\n", " \"kn_id\": \"8ecd1179-4194-4b80-bc39-5addc678df4b\",\n", " \"is_active\": True,\n", " }\n", " )\n", "]\n", "\n", "vectorstore.add_documents(docs)\n" ] }, { "cell_type": "code", "execution_count": null, "id": "a480053b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "*这是第一条文本 [{'kn_id': '8ecd1179-4194-4b80-bc39-5addc678df4b', 'id': 460823023525530108, 'is_active': True}]\n", "*这是第一条文本 [{'kn_id': '8ecd1179-4194-4b80-bc39-5addc678df4b', 'id': 460823023525530110, 'is_active': True}]\n" ] } ], "source": [ "results = vectorstore.similarity_search(\n", " \"\",\n", " k=2,\n", " expr='kn_id == \"8ecd1179-4194-4b80-bc39-5addc678df4b\"',\n", ")\n", "for res in results:\n", " print(f\"*{res.page_content} [{res.metadata}]\")" ] } ], "metadata": { "kernelspec": { "display_name": "lang", "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": "3.10.18" } }, "nbformat": 4, "nbformat_minor": 5 }