184 tools · Browse 184 rag knowledge AI artifacts on Unfragile.
Digital brain as skills for AI coding CLIs — no vector DB, no embeddings, no infrastructure
LanceDB implementation of RAG interfaces for vibe-agent-toolkit
A lightweight, file-backed vector database for Node.js and browsers with Pinecone-compatible filtering and hybrid BM25 search.
VectoriaDB - A lightweight, production-ready in-memory vector database for semantic search
TalaDB React Native module — document and vector database via JSI HostObject
Local-first document and vector database for React, React Native, and Node.js
Lightweight vector database with SQL, SPARQL, and Cypher - runs everywhere (Node.js, Browser, Edge)
Portable WASM embedding generation with SIMD and parallel workers - run text embeddings in browsers, Cloudflare Workers, Deno, and Node.js
Self-learning vector database for Node.js — hybrid search, Graph RAG, FlashAttention-3, HNSW, 50+ attention mechanisms
The AWS (Bedrock) backend module for the @roadiehq/rag-ai plugin.
Semantic embeddings and vector search - find concepts that resonate
MCP server for project-local RAG memory with knowledge graph and multilingual vector search
Internal shared utilities for RAG-Forge packages
Real Geeks UI Kit.
OpenCode plugin that gives coding agents persistent memory using local vector database
MemberJunction: AI Vector Database Module
Local RAG MCP Server - Easy-to-setup document search with minimal configuration
MCP server for HyperspaceDB - high performance multi-geometry vector database
Mind engine adapter for KB Labs Mind (RAG, embeddings, vector store integration).
Genkit AI framework plugin for Pinecone vector database.
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