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Building a Hybrid RAG Agent with Neo4j Graphs and Milvus Vector Search
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This story was originally published on HackerNoon at: https://hackernoon.com/building-a-hybrid-rag-agent-with-neo4j-graphs-and-milvus-vector-search.
Build a Graph-RAG agent using Neo4j and Milvus to combine graph and vector search, delivering accurate, context-rich answers to complex queries.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #vector-search, #graph-rag, #hybrid-rag, #milvus, #langchain, #llm, #knowledge-graph, #good-company, and more.
This story was written by: @neo4j. Learn more about this writer by checking @neo4j's about page, and for more stories, please visit hackernoon.com.
This guide explores building a hybrid RAG agent using Neo4j and Milvus to leverage both graph and vector databases, enhancing response accuracy and relevance through combined search methods and self-correction mechanisms.
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