This blog post details how to ingest data to later be used by a vector and GraphRAG agent using Milvus and Neo4j. This kind of agent combines the power of vector and graph databases to provide accurate and relevant answers to user queries. We will use LangChain and Llama 3.1 8B with Ollama.
Overview
Traditional RAG systems rely solely on vector databases to retrieve relevant documents. This approach goes further by incorporating Neo4j to capture relationships between entities and concepts, ...
Read it: Ingesting Documents Simultaneously to Neo4j & Milvus