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{
"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
}
|
