ruvllm

Browser-based LLM inference using WebGPU for RuVector ecosystem, enabling lightweight AI model execution in WASM environments.

PostgreSQL extension for scalable, high-performance vector search, successor to pgvecto.rs. Features RaBitQ quantization enabling 6x cost savings vs Pinecone. Fully compatible with pgvector. This is an OSS extension.

WASM library for brain-inspired neuromorphic HNSW vector search in 11.8KB. Optimized for edge devices with spiking neurons for energy-efficient similarity search.

ClickHouse is a columnar OLAP database with vector indexes (ANN via AMM, brute-force), supporting SQL queries over vectors + structured data at petabyte scale. Excels in aggregations with vectors. For analytics workloads with embeddings; faster ingestion than Postgres pgvector for big data.

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.

Web-optimized Rust vector DB for low-latency on-device storage/search via WASM, with efficient formats and PCA compression for browsers/edge. Supports JS/Rust APIs; compact vs cloud Qdrant.