Showing 1-20 of 10,112 packages
The Local-First, AI-Native Database for the Web. Featuring WASM SQLite, Vector Embeddings, and MCP support.
MCP server for semantic code search using AST-aware chunking and vector embeddings
Strapi v5 plugin for vector embeddings with OpenAI and Neon PostgreSQL. Enables semantic search, RAG chat, and MCP (Model Context Protocol) integration.
A TypeScript framework for building hybrid GraphRAG applications using SAP HANA Cloud as the unified backend for knowledge graphs (RDF) and vector embeddings
SQLite vector search extension for Node.js - Cross-platform vector embeddings and similarity search
E-commerce RAG plugin for SnapAgent SDK - Product search with vector embeddings
Vector embeddings type for Saltcorn
CLI for semantic code search. It uses vector embeddings to understand code meaning, enabling natural language queries that find relevant code—even when naming conventions vary.
Semantic code search with vector embeddings - RAG-ready for AI assistants
The Local-First, AI-Native Database for the Web. Featuring WASM SQLite, Vector Embeddings, and MCP support.
Isomorphic storage client for Supabase.
Local Knowledge RAG MCP Server - Semantic search and retrieval for local documents using vector embeddings
Retrieval Augmented Generation (RAG) slice for SQLRooms. Query vector embeddings stored in DuckDB for semantic search and AI-powered applications.
A lightweight memory-based vector store with persistent storage support for both Node.js and browser environments. Efficiently store, retrieve, and search vector embeddings with minimal dependencies.
Semantic code search server for MCP, powered by vector embeddings and Qdrant
On-device semantic search with vector embeddings for React Native
Superfast semantic routing for Node.js using vector embeddings
High-performance RDF/SPARQL database with AI agent framework and cross-database federation. GraphDB (449ns lookups, 5-11x faster than RDFox), HyperFederate (KGDB + Snowflake + BigQuery), GraphFrames analytics, Datalog reasoning, HNSW vector embeddings. Hy
Semantic indexing and search over source code using vector embeddings
A fast CLI tool for semantic file search using vector embeddings