I built a graph-memory layer on top of turbovec for local/constrained RAG — looking for feedback

In three linesDeveloper releases turbo-graph, a turbovec fork adding GraphMemoryIndex layer for constrained local RAG. Addresses vector-search bottlenecks: tenant filters, time/tag constraints, graph neighborhoods, BM25 candidates, reranking, explainability. Alpha stage, targets private RAG where constraints drive the product.

Summary generated by Claude — human-verified