# Javascript

> Browse 7 items tagged with Javascript.

## Items

- [hnswlib-node](https://vectordb.ever.works/pl/items/hnswlib-node) — Node.js bindings (JavaScript/TypeScript SDK) for HNSWLib C++ library, enabling fast ANN vector search with async operations and V8 optimization. Supports L2/cosine distances, file persistence, filtering, and LangChain integration for seamless app embedding. Ideal for web/serverless JS RAG; lighter JS alternative to Python hnswlib bindings vs. full vector DBs like Chroma.
- [pgvector-node](https://vectordb.ever.works/pl/items/pgvector-node) — JavaScript/TypeScript SDK/client (Node.js/Deno/Bun) for pgvector PostgreSQL extension, enabling async vector storage and similarity queries. Supports REST-like ops via pg driver, Prisma integration. For JS app integration in RAG/semantic search; official bindings vs. direct SQL or other SDKs.
- [imvectordb](https://vectordb.ever.works/pl/items/imvectordb) — Super simple and easy-to-use in-memory vector database for Node.js. Perfect for quickly building prototypes or small-scale applications with a compressed file size of just 3KB.
- [VectorDB.js](https://vectordb.ever.works/pl/items/vectordbjs) — Simple in-memory vector database for Node.js that works 100% locally and in-memory by default. Uses hnswlib-node for simple vector search and Embeddings.js for simple text embeddings with support for OpenAI, Mistral and local embeddings.
- [Vectra](https://vectordb.ever.works/pl/items/vectra) — Local vector database for Node.js with features similar to Pinecone but built using local files. Provides predictable local performance with full in-memory scans delivering sub-millisecond to low-millisecond latency for small/medium corpora.
- [Transformers.js](https://vectordb.ever.works/pl/items/transformersjs) — JavaScript library from Hugging Face for running transformer models directly in the browser with no server required, providing embeddings, classification, and multimodal capabilities using ONNX Runtime.
- [MeMemo](https://vectordb.ever.works/pl/items/mememo) — A JavaScript library that brings vector search and RAG (Retrieval-Augmented Generation) to browser environments, enabling efficient searching through millions of vectors using HNSW algorithm with IndexedDB and Web Workers.

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_Canonical page: https://vectordb.ever.works/pl/tags/javascript_