{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "4eb50795-d6a9-4339-a083-643f51a50911", "metadata": {}, "outputs": [], "source": [ "from langchain.chat_models import AzureChatOpenAI\n", "from dotenv import load_dotenv\n", "import os\n", "import openai\n", "from langchain.chains import GraphCypherQAChain\n", "from langchain.graphs import Neo4jGraph\n", "from langchain.callbacks import get_openai_callback\n", "import pandas as pd\n", "from tqdm import tqdm\n" ] }, { "cell_type": "code", "execution_count": 2, "id": "63905a82-6569-4e69-b757-04b187c33686", "metadata": {}, "outputs": [], "source": [ "LLM_MODEL = 'gpt-4'\n" ] }, { "cell_type": "code", "execution_count": 3, "id": "678addb6-d6b9-4447-893c-fb15099c7bf6", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/karthiksoman/anaconda3/envs/cypher_rag/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The class `AzureChatOpenAI` was deprecated in LangChain 0.0.10 and will be removed in 0.3.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import AzureChatOpenAI`.\n", " warn_deprecated(\n" ] } ], "source": [ "\n", "load_dotenv(os.path.join(os.path.expanduser('~'), '.gpt_config.env'))\n", "API_KEY = os.environ.get('API_KEY')\n", "API_VERSION = os.environ.get('API_VERSION')\n", "RESOURCE_ENDPOINT = os.environ.get('RESOURCE_ENDPOINT')\n", "openai.api_type = \"azure\"\n", "openai.api_key = API_KEY\n", "openai.api_base = RESOURCE_ENDPOINT\n", "openai.api_version = API_VERSION\n", "chat_deployment_id = LLM_MODEL\n", "chat_model_id = chat_deployment_id\n", "temperature = 0\n", "chat_model = AzureChatOpenAI(openai_api_key=API_KEY, openai_api_version=API_VERSION, azure_deployment=chat_deployment_id, azure_endpoint=RESOURCE_ENDPOINT, temperature=temperature)\n", "load_dotenv(os.path.join(os.path.expanduser('~'), '.spoke_neo4j_config.env'))\n", "username = os.environ.get('NEO4J_USER')\n", "password = os.environ.get('NEO4J_PSW')\n", "url = os.environ.get('NEO4J_URL')\n", "database = os.environ.get('NEO4J_DB')\n", "\n" ] }, { "cell_type": "code", "execution_count": 4, "id": "30a068c7-42d6-4f41-bce1-5fe2a38ace5a", "metadata": {}, "outputs": [], "source": [ "graph = Neo4jGraph(url=url, username=username, password=password, database = database)\n", "chain = GraphCypherQAChain.from_llm(chat_model, graph=graph, verbose=True, validate_cypher=True,return_intermediate_steps=True)\n", "\n" ] }, { "cell_type": "code", "execution_count": 5, "id": "5b844002-f139-4dcf-9ddb-ebf42fcee2f5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "\u001b[1m> Entering new GraphCypherQAChain chain...\u001b[0m\n", "Generated Cypher:\n", "\u001b[32;1m\u001b[1;3mMATCH (d:Disease {name: \"hypochondrogenesis\"})-[:ASSOCIATES_DaG]->(g:Gene) RETURN g.name\u001b[0m\n", "Full Context:\n", "\u001b[32;1m\u001b[1;3m[{'g.name': 'COL2A1'}]\u001b[0m\n", "\n", "\u001b[1m> Finished chain.\u001b[0m\n" ] } ], "source": [ "question = \"What are the genes associated with hypochondrogenesis?\"\n", "\n", "cypher_rag_answer = chain.invoke({\"query\":question})\n" ] }, { "cell_type": "code", "execution_count": 6, "id": "142b0c6d-b5b5-4c98-b5e3-c6f5f39bd30a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'query': 'What are the genes associated with hypochondrogenesis?',\n", " 'result': 'The gene associated with hypochondrogenesis is COL2A1.',\n", " 'intermediate_steps': [{'query': 'MATCH (d:Disease {name: \"hypochondrogenesis\"})-[:ASSOCIATES_DaG]->(g:Gene) RETURN g.name'},\n", " {'context': [{'g.name': 'COL2A1'}]}]}" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cypher_rag_answer" ] }, { "cell_type": "code", "execution_count": 7, "id": "4f99bfef-bcc2-462a-87b9-3c553978f8a0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[{'query': 'MATCH (d:Disease {name: \"hypochondrogenesis\"})-[:ASSOCIATES_DaG]->(g:Gene) RETURN g.name'},\n", " {'context': [{'g.name': 'COL2A1'}]}]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cypher_rag_answer[\"intermediate_steps\"]" ] }, { "cell_type": "code", "execution_count": null, "id": "2bd57161-2d8c-4c7e-99f5-09890b13fe27", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python (cypher_rag)", "language": "python", "name": "cypher_rag" }, "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": 5 }