Node.js bindings for Hnswlib
Node.js bindings for Hnswlib
typescript and wasm bindings for Hnswlib
typescript and wasm bindings for Hnswlib
typescript and wasm bindings for Hnswlib
Node.js bindings for Hnswlib
Add HNSWLib support to embedjs
Add HNSWLib support to embedjs
Add HNSWLib support to embedjs
typescript and wasm bindings for Hnswlib with storage agnostic
Vector search with HNSWlib and SQLite in TypeScript.
Node.js bindings for Hnswlib
Persistence layer for hnswlib-wasm with JSON and binary format support for Node.js
Emnapi generated WebAssembly bindings for Hnswlib
CloseVector is fundamentally a vector database. We have made dedicated libraries available for both browsers and node.js, aiming for easy integration no matter your platform. One feature we've been working on is its potential for scalability. Instead of b
HTTP MCP server for S3 documentation with RAG using HNSWLib and Ollama
CloseVector is fundamentally a vector database. We have made dedicated libraries available for both browsers and node.js, aiming for easy integration no matter your platform. One feature we've been working on is its potential for scalability. Instead of b
TypeScript SDK for Personal Data Wallet - Decentralized memory system with AI embeddings, HNSW vector search, SEAL encryption and Walrus storage
visualization packages for vector space
In-memory vector database
Vector autocomplete powered by transformer embeddings and cosine similarity — search by meaning, not keywords.
Entity resolution toolkit — deduplicate, match, and create golden records
Cache LLM responses — exact and semantic matching
UMAP with HNSW kNN and WebGPU-accelerated SGD
Pure-Rust port of hnswlib (HNSW approximate nearest neighbors)
Pure-Rust port of hnswlib (HNSW approximate nearest neighbors)
Ultra-low resource embedded vector search kernel for edge AI
High-performance embedded vector database for Browser, Node, and Edge
genome classification, probminhash hnsw, genome search
Command-line interface for Feather — embedded vector database + living context engine
High-performance local RAG library - SIMD-accelerated vector search, HNSW indexing
Database layer for foxstash — collections, filtering, hybrid search, WAL persistence, and concurrent access
Multi-modal embedded database - vectors, blobs, TTL, merge operators, and causal tracking built on ACID B-trees
Fast, parallel, memory-efficient Rust implementation of UMAP
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