tutorial124

tutorial124/.env

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+NEO4J_URI=bolt://xxx
+NEO4J_USERNAME=neo4j
+NEO4J_PASSWORD=xxx
+NEO4J_DATABASE=neo4j

tutorial124/main.py

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+from langchain_openai import ChatOpenAI
+from langchain_community.graphs import Neo4jGraph
+from langchain.prompts import PromptTemplate
+from dotenv import load_dotenv
+import json
+load_dotenv()
+graph=Neo4jGraph()
+schema=graph.get_schema
+llm=ChatOpenAI(model="gpt-4o")
+template="""
+Task: Generate Cypher statement to query a graph database.
+Instructions:
+Use only the provided nodes, relationship and properties from the schema provided below:
+{schema}
+Do not use any other relationship types or properties that are not provided.
+sample question and queries given below:
+question:display the os name which is used maximum time
+query:MATCH (:Machine)-[:RUNS]->(os:OS) RETURN os.name AS osName ,count(os) as os order by os DESC limit 1
+The question is:
+{question}
+your response will be only json with below key nothing else
+'query':
+"""
+prompt=PromptTemplate.from_template(template)
+chain=prompt | llm
+response=chain.invoke({"schema":schema,"question":"display all racks name and count of machine it is holding"})
+response=response.content
+response=response.replace("json","")
+response=response.replace("`","")
+query=json.loads(response)["query"]
+print(query)
+result=graph.query(query=query)
+print(result)

tutorial124/prompt.txt

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+Task: Generate Cypher statement to query a graph database.
+Instructions:
+Use only the provided nodes, relationship and properties from the schema provided below:
+{schema}
+Do not use any other relationship types or properties that are not provided.
+The question is:
+{question}
+your response will be only json with below key nothing else
+'query':

tutorial124/qsn.txt

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+display all distinctint os count
+display all distinctint machine count based on os
+display all racks name and count of machine it is holding

tutorial2/single_url.py

@@ -2,7 +2,7 @@
 from langchain_community.document_loaders import YoutubeLoader
 import io
 
-loader=YoutubeLoader.from_youtube_url("https://youtu.be/autGxyHszc4")
+loader=YoutubeLoader.from_youtube_url("https://youtu.be/RwxgHJQwdRk")
 docs=loader.load()
 print(docs)
 with io.open("transcript.txt","w",encoding="utf-8")as f1: