Hybrid search – Retrieve from Graph and Embeddings.

Hybrid search – Retrieve from Graph and Embeddings.

Publication date: Aug 18, 2024

Please read that article and video URL to implement the chatbot, setup Neo4J, create Graph and show graph in chatbot. Video URL of the the first implementation:-2. How to build Streamlit chatbot to create Neo4J graph:-This following highlighted implementation is already covered in another article. Advanced RAG Chatbot with Neo4j Knowledge GraphThe second implementation enhances the basic RAG chatbot by integrating a Neo4j knowledge graph. Leveraging cutting-edge technologies like Streamlit, LangChain, and Neo4j, we can build sophisticated chatbots that not only retrieve information from documents but also integrate with knowledge graphs for enhanced insights. This approach will combine search technique of Cypher query and Embedding similarity search. Setting Up the EnvironmentTo start, we load necessary libraries and environment variables, and set up Neo4j credentials. How to build a chatbot to implement Hybrid search. We will implement Hybrid search techniques on the already created graph in Neo4J.

Concepts Keywords
70b Build
Neo4j_password Chatbot
Prepare_chat_templateself Def
Transformers Environ
Tutorial Graph
Hybrid
Import
Neo4j
Node
Os
Question
Retrieve
Search
Self
Streamlit

Semantics

Type Source Name
drug DRUGBANK Nonoxynol-9
gene GENE LDB3
gene GENE SET
gene GENE UTP25
gene GENE MID1
gene GENE BPIFA4P
gene GENE CPB2
gene GENE SH2D3C
gene GENE CHAT
gene GENE STATH
gene GENE CHL1
gene GENE GBP1P1
gene GENE LARGE1

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