OpenWebUI RAG

Crawl4AI RAG

Enhance your knowledge access by leveraging a cutting-edge Model Context Protocol (MCP) that combines web crawling and RAG capabilities. This innovative approach allows for seamless retrieval and storage of website content in vector databases, paving the way for advanced semantic search functionalities across crawled data.

Ragie

Enhances connectivity with Ragie's knowledge repository system for streamlined retrieval and extraction of data from extensive datasets, optimizing search and information access.

Apify RAG Web Browser

Utilize Apify's RAG Web Browser Actor, an open-source tool, to seamlessly conduct online searches, extract website links, and deliver information formatted in Markdown.

RAG Docs

Enhances information retrieval through semantic search functionality and a vector database (Qdrant), facilitating streamlined access to extensive document repositories.

RAG Documentation

Experience advanced knowledge access with seamless integration of Qdrant vector search and documentation retrieval in Model Context Protocol (MCP). Unlock context-aware responses and enable semantic querying for a richer user experience.

Langflow Document QA

Integrate Claude Desktop with a Langflow-enabled Q&A system by employing the query_docs feature, which leverages a Mistral model to handle document-driven queries effectively.

RAG Documentation Search

Enhances document search with semantic vectors for contextually relevant results from specified document repositories.

PopUI

Empower Claude Desktop to seamlessly generate and engage with interactive visual interfaces using a two-way Electron connection. This facilitates instant modification of communal visual elements, ideal for collaborative projects such as dashboards, gaming applications, and data visualization software.

DocuMCP (RAG Documentation Server)

Enhance your documentation system with a cutting-edge RAG-enabled server that seamlessly connects to vector databases. Enjoy advanced semantic search features for code, documentation, and diagrams while keeping all data secure within your environment.

Onyx Knowledge Base

Enhance team collaboration by seamlessly connecting Bridges Onyx knowledge bases with advanced semantic search and chat features. This empowers users to effortlessly tap into organizational insights via RAG-driven document access within customizable context windows.

RAGDocs (Vector Documentation Search)

Unlock the ability to search and retrieve semantic documentation effortlessly through vector databases. Get URL extraction, source oversight, and index queuing, paired with diverse embedding providers such as Ollama and OpenAI.

Docs RAG

Utilizing a RAG framework developed with TypeScript, LlamaIndex, and Gemini embeddings, this protocol empowers artificial intelligence to search and assess native files and Git repositories effectively.

URL Fetch

Experience seamless integration of web content, JSON data, and images in conversations using dedicated tools for URL retrieval and display.

Shared Knowledge RAG

Facilitates AI applications to retrieve data from various vector storage systems like HNSWLib and Weaviate, offering a streamlined solution for knowledge retrieval in RAG processes without the need for extensive integration efforts.

Inkeep RAG

Facilitates Claude's access to essential documents via Inkeep's RAG API, offering organized citation details crucial for technical assistance and knowledge exchanges.