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Node.js bindings for faiss
- faiss
- approximate
- nearest
- neighbor
- search
- face
- matching
- machine learning
- feature
- vector
- indexing
- similarity search
- embeddings
JavaScript/Typescript ORMs for Lantern Vector Database
A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses OpenAI's API to generate embeddings for text documents and provides functionality for similarity search, filtering, and
A client side vector search library
Fastest SIMD-Accelerated Vector Similarity Functions for x86 and Arm
Use local LLMs in your browser and Node.js apps.
Fastest SIMD-Accelerated Vector Similarity Functions for x86 and Arm
A client side vector search library
BoostGPT client library for nodejs.
JavaScript NAPI bindings for faiss
- faiss
- approximate
- nearest
- neighbor
- search
- face
- matching
- machine learning
- feature
- vector
- indexing
- similarity search
- embeddings
A vector based fuzzy searching tool
A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses OpenAI's API or Transformer.js models to generate embeddings for text documents and provides functionality for similarit
- vector
- semantic
- store
- storage
- database
- db
- local
- localstorage
- browser
- embeddings
- text
- search
- similarity
- OpenAI
- View more
Local, cost-free vector store for text embeddings and similarity search (soon) in-browser and Node.js.
LanceDB: A serverless, low-latency vector database for AI applications
A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses Transformers.js to generate embeddings for text documents and provides functionality for similarity search, filtering, a
- vector
- semantic
- store
- storage
- database
- db
- local
- localstorage
- browser
- embeddings
- text
- search
- similarity
- transformers
A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses OpenAI's API to generate embeddings for text documents and provides functionality for similarity search, filtering, and
CustomGPT client library for nodejs
Google analytics for semantic search in vector databases