Results for faiss

node-gyp bindings for Faiss

Node.js bindings for faiss

JavaScript NAPI bindings for faiss

# js-faiss

High-performance Node.js native bindings for Facebook FAISS with float and binary indexes, CLI tooling, optional GPU migration hooks, async operations, persistence, and vector utility helpers.

Provides access to faiss indices from DuckDB.

Haybarn extension 'faiss' for win32/x64. Built against haybarn 1.5.2. Installed automatically by the @haybarn/ext-faiss-h1-5-2 meta-package; use that, not this leaf, in your dependencies.

Node.js bindings for faiss

Haybarn extension 'faiss' for darwin/x64. Built against haybarn 1.5.2. Installed automatically by the @haybarn/ext-faiss-h1-5-2 meta-package; use that, not this leaf, in your dependencies.

FAISS-based high-performance KNN search addon for Node.js

Haybarn extension 'faiss' for darwin/arm64. Built against haybarn 1.5.2. Installed automatically by the @haybarn/ext-faiss-h1-5-2 meta-package; use that, not this leaf, in your dependencies.

Haybarn extension 'faiss' for win32/x64. Built against haybarn 1.5.3. Installed automatically by the @haybarn/ext-faiss-h1-5-3 meta-package; use that, not this leaf, in your dependencies.

Node.js bindings for faiss

Haybarn extension 'faiss' for darwin/x64. Built against haybarn 1.5.3. Installed automatically by the @haybarn/ext-faiss-h1-5-3 meta-package; use that, not this leaf, in your dependencies.

Haybarn extension 'faiss' for darwin/arm64. Built against haybarn 1.5.3. Installed automatically by the @haybarn/ext-faiss-h1-5-3 meta-package; use that, not this leaf, in your dependencies.

This is a library that handles using ipfs CAR files and PAIL DAGs to store and retrieve faiss indexes.

Self-hosted skill registry CLI — scaffold, publish, pull, and search AI agent skills with Archil storage, FAISS search, and OpenTUI dashboard

Node.js bindings for faiss

High-performance local memory storage plugin for OpenClaw with FAISS Advanced indexing

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.

Generate FAISS indexes using Ollama nomic-embed-text embeddings

Structure ambiguous data into discrete question:answer pairs and generate associated embeddings for similarity querying via Faiss or similar.

CMMV module for LLM integration, tokenization, RAG dataset creation, and fast FAISS-based vector search for code indexing.

## Introduction