Search results for "indexing"
The leading, most token-efficient MCP server for documentation exploration and retrieval via structured section indexing
Lad MCP Server: Autonomous code & system design review for AI coding agents (Claude Code, Cursor, Codex, etc.). Features multi-model consensus via OpenRouter and context-aware reviews via Serena.
The leading, most token-efficient MCP server for GitHub source code exploration via tree-sitter AST parsing
A thin cython wrapper around llama.cpp, whisper.cpp and stable-diffusion.cpp
The implementation for SIGIR 2026: Learning to Retrieve from Agent Trajectories.
Cognithor - Agent OS: Local-first autonomous agent operating system. 16 LLM providers, 17 channels, 112+ MCP tools, 5-tier memory, A2A protocol, knowledge vault, voice, browser automation, Computer-us
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
MCP server that saves 97% of AI coding tokens — your AI reads code structurally, not file-by-file. Faster, cheaper, smarter.
AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical m
A-RAG: Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces. State-of-the-art RAG framework with keyword, semantic, and chunk read tools for multi-hop QA.
LlamaIndex is the leading document agent and OCR platform
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
AI-powered spec generation and review using multi-repo code graph intelligence for backend teams that ship to production.
Ship customer-facing AI with isolation, spend controls, and provenance.
Your second brain, starting today. CLI + MCP server that helps you build, maintain, and search a knowledge vault that gets better every day. Works with any AI provider. Local-first, zero-prereq instal
RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connec
"RAG-Anything: All-in-One RAG Framework"
High-Performance Engine for Multi-Vector Search
Lightweight semantic code search engine — 2-stage vector + FTS + RRF fusion + MCP server for Claude Code
An MCP server plus a CLI tool that indexes local code into a graph database to provide context to AI assistants.
Benchmark for vector databases.
Desktop AI Assistant powered by GPT-5, GPT-4, o1, o3, Gemini, Claude, Ollama, DeepSeek, Perplexity, Grok, Bielik, chat, vision, voice, RAG, image and video generation, agents, tools, MCP, plugins, spe
🚀 Enhance retrieval with REFRAG, using micro-chunking and fast indexing for optimized RAG systems that improve efficiency and effectiveness.
Autonomous, multilingual AI voice agent using ElevenLabs, LangGraph, and RAG for government services
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge base