Results for rag-cli

Retrieval Augmented Generation (RAG) based CLI tool to help you talk with your documents

Local-first RAG CLI — semantic search over your files using local embeddings

Prebuilt rag-cli binary for Linux x86_64

Prebuilt rag-cli binary for macOS x86_64 (Intel)

Prebuilt rag-cli binary for macOS ARM64 (Apple Silicon)

Prebuilt rag-cli binary for Linux ARM64 (aarch64)

RAG CLI to ask questions about PDFs in any folder using OpenAI.

> Standalone LLM RAG CLI application

A lightweight CLI tool for testing RAG (Retrieval-Augmented Generation) systems with different embedding combinations

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

CLI tool for CodeRAG — init, index, search, serve, and status commands for codebase context engine

Local RAG setup with ChromaDB + MCP server (Jina/BGE hybrid support).

The Retrieval-Augmented Generation (RAG) module contains document processing and embedding utilities.

A rag component for Convex.

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

Command-line interface for vibe-agent-toolkit

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.

A agent component for Convex.

Talk to your files - local RAG CLI

Offline HTTP RAG (Retrieval-Augmented Generation) server for the Red Sift Design System — returns ranked, scored documentation chunks for any LLM/agent to consume.

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`.

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

Retrivora AI is a plug-and-play AI engine for RAG chat experiences — generic vector DB + LLM provider, embeddable or standalone.

Core RAG pipeline tools - universal chunking, embedding, vector store interfaces