GridStore

Rust-based PostgreSQL extension accelerating vector similarity search with diskless HNSW (20x faster than pgvector), DiskANN indexes, and hybrid SQL for ANN on embeddings. Enables FP16/INT8/binary vectors with ACID compliance; perfect for high-throughput RAG in DB, real-time analytics. Superior speed/resource efficiency vs dedicated vector stores like Weaviate, all within Postgres.

Rust crate for quantum circuit simulation and coherence assessment using min-cut gates. Integrates MWPM decoder and post-quantum signatures providing quantum-resistant security for AI safety in quantum-inspired vector computing environments.

Open-source graph-enhanced vector database built in Rust enabling hybrid graph+vector search for KG-RAG applications. Supports graph queries for knowledge graph traversal combined with vector similarity search. Unlike pure vector databases, it natively models relationships for multi-hop reasoning and connected data retrieval.

NucliaDB is a versatile vector database designed for data scientists and machine learning experts working with HuggingFace and other data pipeline platforms. Built on Tantivy in Rust and Python, it efficiently indexes large datasets with multi-tenant support.

Minimal Rust library for fast on-device cosine similarity search with Rayon parallelism and embedded persistence, ideal for low-latency prototyping on edge hardware. Supports quick inserts/queries for real-time AI; lighter than full DBs like Qdrant edge.

Self-optimizing on-device vector database with HNSW, graph RAG, and WASM deployment for low-latency edge AI ops across browsers/IoT/mobile. Supports real-time self-learning retrieval; lighter and offline vs cloud Qdrant.