a vector similarity search engine in WASM

Vector similarity search directly over Parquet files

Official Node.js SDK for [Milvus](https://github.com/milvus-io/milvus) vector database. Provides gRPC and HTTP clients for vector similarity search, metadata filtering, and full collection/index/user management.

Generic property graph engine with vector similarity search — extracted from scrollstr's PolyGraph

Embedding storage and vector similarity search for Pondoknusa

Vector similarity search over gRPC — semantic retrieval without a dedicated database per product.

Associative memory for LLM agents — a key-graph memory layer (MCP server) that recalls by association, not just vector similarity. A graph-based alternative to vector-store agent memory.

Exact vector similarity search for Node, written in Rust

Vector similarity search over a Firestore collection

SQLite Wasm with sqlite-vec extension for vector similarity search, conveniently wrapped as an ES Module.

Pinecone vector store provider for molecule.dev — serverless vector similarity search

Generic hybrid retrieval ranker — fuses vector similarity + text relevance signals (mechanism-agnostic: textScore / vecScore) via normalized RRF/max-score fusion. SearchBackend interface decouples ranking logic from storage. StoreSearchBackend wires Vecto

PostgreSQL pgvector provider for molecule.dev — vector similarity search with pgvector

Embedding generation and vector similarity search

USearch vector similarity search bindings for Bare

Fastest SIMD-Accelerated Vector Similarity Functions for x86 and Arm

A CLI tool for semantic codebase search using embeddings, vector similarity, and RAG — ask plain-English questions about your code instead of grepping for exact keywords.

n8n node for Azure Cosmos DB using official SDK with hybrid search, vector similarity, and Entra ID support

Custom Adaptive Indexed Similarity Search — a fast, rule-driven, phonetic-aware in-memory search engine inspired by FAISS. Built for precision over raw vector similarity.

Lightweight in-memory vector similarity cache — cosine-similarity nearest-neighbor lookup over a small in-memory vector set, for when a full vector DB is overkill.