SurrealDB 3.0 Unifies RAG Stack into One Database

π‘One DB replaces Postgres+Pinecone+Neo4j for RAGβfixes agent accuracy via transactional memory (82 chars)
β‘ 30-Second TL;DR
What Changed
Combines structured data, vectors, graphs, and agent memory in a single transactional database.
Why It Matters
Simplifies RAG for agentic AI, boosting accuracy and performance by reducing multi-database sync overhead. With growing adoption, it challenges specialized DBs and appeals to developers building scalable AI systems.
What To Do Next
Download SurrealDB 3.0 and prototype a RAG agent query using SurrealQL for graph-vector joins.
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Original source: VentureBeat β