SurrealDB v3 solves the graph RAG ugliness of a vector DB here, a graph DB there, a document store somewhere else. With native vectors, documents, and graph relations all in one engine, SurrealDB v3 finally gives a unified substrate for #GraphRAG. One query language. One data model. One place to store chunks, embeddings, entities, and edges.
But as an all‑in‑one platform for building #KnowledgeGraphs, it’s one of the most compelling options available today.
Memgraph 3.8 is here with real‑time graph intelligence.
Three things stand out:
- Atomic GraphRAG: graph augmented questions with one query.
- Vector Search in the Same Store: new hybrid graph‑vector patterns
- Parallel Runtime Improvements: analytical and traversal-heavy queries now run faster thanks to deeper parallelization across the runtime.
https://memgraph.com/blog/memgraph-3-8-release-atomic-graphrag-vector-single-store-parallel-runtime
#GraphDatabase #GraphRAG #KnowledgeGraphs
