Zero-config RAG for any codebase or document folder. Index your project and ask questions via CLI, browser, or code.
A agent component for Convex.
The official Pinecone TypeScript SDK for building vector search applications with AI/ML.
A a collection of languages stemmers and stopwords for Lunr Javascript library
The Retrieval-Augmented Generation (RAG) module contains document processing and embedding utilities.
A rag component for Convex.
easy to use progress-bar for command-line/terminal applications
Pretty unicode tables for the command line. Based on the original cli-table.
Stylish, intuitive and user-friendly prompt system. Fast and lightweight enough for small projects, powerful and extensible enough for the most advanced use cases.
Cypress is a next generation front end testing tool built for the modern web
A TypeScript CLI tool for local RAG indexing and querying
Run commands concurrently
Local RAG MCP Server - Easy-to-setup document search with minimal configuration
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Unified CLI for a local markdown-as-memory vault (Obsidian-compatible, not required), code graph (graphify), and cross-repo intelligence. Hosts: Claude Code + Codex CLI. Mistborn-themed with a neutral alias set.
fzf ( junegunn/fzf ) inspired cli utility for node
Command-line interface for vibe-agent-toolkit
Offline HTTP RAG (Retrieval-Augmented Generation) server for the Red Sift Design System — returns ranked, scored documentation chunks for any LLM/agent to consume.
Pretty unicode tables for the CLI
Phase 2 of the catalog plane. Adds vector embeddings, AI-agent access patterns, and the MCP server scaffolding on top of the Phase 1 foundation in `@voyantjs/catalog`.
[@Redocly](https://redocly.com) CLI is your all-in-one API documentation utility. It builds, manages, improves, and quality-checks your API descriptions, all of which comes in handy for various phases of the API Lifecycle. Create your own rulesets to make
Testmo command line interface
The bedrock backend module for the rag-ai plugin.
Retrivora AI is a plug-and-play AI engine for RAG chat experiences — generic vector DB + LLM provider, embeddable or standalone.