Explore Agents

Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering

TwelveLabs MCP: video indexing, search, analysis, and embeddings for AI applications.

Graph-vector memory for AI assistants using FalkorDB and Qdrant

29 AI tools: audio/video transcription, image generation, TTS, OCR, embeddings via deAPI

Medical RAG: semantic search for clinical guidelines, drug interactions, diagnoses & EHR data.

Apple Developer Documentation with Semantic Search, RAG, and AI reranking for MCP clients

Query Vectara's trusted RAG-as-a-service platform

Medical RAG: semantic search for clinical guidelines, drug interactions, diagnoses & EHR data.

Convert source code repositories into searchable knowledge bases with AI-powered search using GPT-5, intelligent chunking, and OpenAI embeddings for semantic code understanding

MCP server for searching and uploading records to Pinecone. Allows for simple RAG features, leveraging Pinecone's Inference API

AI command bridge for Commodore 64 hardware. Control Ultimate 64 and C64 Ultimate devices through REST API with BASIC and assembly program creation, real-time memory inspection, SID audio synthesis, and curated retro computing knowledge via local RAG

Context Portal (ConPort) is a memory bank database system that effectively builds a project-specific knowledge graph, capturing entities like decisions, progress, and architecture, along with their relationships. This serves as a powerful backend for Retrieval Augmented Generation (RAG), enabling AI

"primitive" RAG-like web search model context protocol (MCP) server that runs locally using Google's MediaPipe Text Embedder and DuckDuckGo Search

Lightweight local document search with minimal setup. Search across PDF, DOCX, TXT, and Markdown files - no Docker, no external services required

MCP server for RAG on local files

This template demonstrates how to create a collaborative team of AI agents that work together to process, analyze, and g

An open-source RAG-based tool for chatting with your documents.

A Model Context Protocol server for Prem AI - enables AI assistants to interact with Prem's ecosystem for chat completions and RAG capabilities.

MCP server for Venice AI - chat, images, TTS, embeddings, and account management

This MCP server for storing and retrieving text passages locally based on their semantic meaning