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Showing 25–48 of 2,161 for Chat Mcp Rag

Local RAG

"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨

SaSame Research

Free AI research/OCR + agent-economy discovery tools (120+ tools, no-auth), includes engage_sasame to commission SaSame to build MCP/Claude/RAG/agents, full…

Spring Boot AI

Spring Boot AI is a sample application demonstrating how to build an AI agent using Spring AI, the Model Context Protocol (MCP), and Retrieval Augmented…

Solon Ai

Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded…

RagWiser

RagWiser is a Retrieval Augmented Generation (RAG) system built with Spring Boot that enables users to upload PDF documents, process them, and ask questions…

knowledge-rag

Local RAG system for Claude Code with hybrid search (semantic + BM25), cross-encoder reranking, markdown-aware chunking, 9 file formats, file watcher, and 12…

Calypso Multimodal RAG

Launch a hosted Gemini File Search true multimodal RAG layer that answers from your PDFs, docs, screenshots, charts, diagrams, help center, FAQs, and images…

Vector Search x402

x402 micropayment API for AI agents. In-memory vector store with cosine similarity search. For RAG pipelines. Pay per call with USDC on Base.

Terraform Rag

AI-powered knowledge base for your Terraform modules. Index, search, compose, and audit - all from one place.

Tiny Chat

This is an LLM application with chat functionality, featuring chat using RAG, a database, and MCP server capabilities. The UI is designed for Japanese users.

Voyageai Cli

MCP server for Voyage AI embeddings, reranking, and MongoDB Atlas Vector Search. Provides 11 tools for semantic search, document ingestion, cost estimation…

MCP-RAG

The MCP-RAG Server is an implementation of the Model Context Protocol (MCP) designed to enhance AI assistants by providing them with real-time access to…

THE PROJECT IS MOVED

🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows

Docs RAG

Enables AI to query and analyze local documents and Git repositories through a RAG system built with TypeScript, LlamaIndex, and Gemini embeddings.

Mcp Cornell Resume

A Model Context Protocol (MCP) server that automatically generates Cornell-style study notes and summaries from the conversational context, with RAG active…

Careerproof

Career and workforce intelligence built on a deep HR ontology — skill taxonomies, role definitions and responsibilities, compensation and incentive structures…

Forge

Forge is Voxell's hosted text-embedding API. This MCP server exposes two tools — embed (turn text into vectors) and list_models — so any MCP-compatible agent…