The implementation of a hybrid RAG system involves four main steps: (1) building the graph retriever model (extracting entities/relationships, setting up a graph database like Neo4j AuraDB, and implementing querying), (2) building the vector retriever model (generating embeddings, setting up a vectorstore like Chroma/Neo4j/FAISS/Pinecone, and implementing similarity search), (3) combining them into a hybrid model (merging results, creating context aggregation, and integrating with an LLM), and (4) setting up a user interface (e.g., using Gradio).

Authors

• Person: Not available Organization: Procogia
  RAG Using Knowledge Graph: Mastering Advanced Techniques

Sources

• RAG Using Knowledge Graph: Mastering Advanced Techniques procogia.com Procogia via serper

Referenced by nodes (2)

• Neo4j concept
• Chrome concept