Vectorless RAG using LLM-driven hierarchical document indexing — PDF and Markdown/Obsidian vault support

PageIndex - Vectorless RAG using LLM-based tree search

A a collection of languages stemmers and stopwords for Lunr Javascript library

A rag component for Convex.

No description provided.

A agent component for Convex.

MCP server for PageIndex

MCP server for PageIndex

Local RAG MCP Server - Easy-to-setup document search with minimal configuration

Abstract RAG (Retrieval-Augmented Generation) interfaces and shared implementations

Command-line interface for vibe-agent-toolkit

The official Pinecone TypeScript SDK for building vector search applications with AI/ML.

> LlamaCloud is a new generation of managed parsing, ingestion, and retrieval services, designed to bring production-grade context-augmentation to your LLM and RAG applications.

Vectorless, reasoning-based RAG (PageIndex) in JavaScript. Runs in the browser via WASM and anywhere JS runs. Deterministic tree index plus LLM tree-search retrieval.

LLM integration plugin for PostGraphile v5 — server-side text-to-vector embedding and text companion fields for pgvector columns

A JavaScript library for Retrieval-Augmented Generation (RAG) within the QVAC ecosystem. Build powerful, context-aware AI applications with seamless document ingestion, vector search, and LLM integration.

Extract clean, timestamped YouTube captions, subtitles, transcripts, and video metadata for AI summaries, RAG, search, and slide-ready workflows.

Code intelligence for AI coding assistants — AST-level semantic code search with keyword boost. Index your codebase, search by meaning, keep everything local.

Orquestador multi-agente de CLIs de IA para pipelines RAG con routing por sensibilidad, policy de proveedores y CLIs intercambiables (Claude, Codex, Gemini, Ollama, Azure, Bedrock, Vertex).

LanceDB implementation of RAG interfaces for vibe-agent-toolkit