Question 1

What is Knowledge Rag?

Accepted Answer

Knowledge Rag is a local, privacy-first document search tool designed for developers and technical professionals. It enables lightning-fast, hybrid search (BM25, semantic vectors, cross-encoder reranking) across a wide variety of file types (PDFs, markdown, code, notebooks), with all processing and storage running locally on your machine—no cloud or data outflow. Supporting 13 Model Context Protocol (MCP) tools and running efficiently via ONNX (including optional GPU acceleration), it ensures robust, scalable, and fully offline retrieval-augmented generation for technical documentation, codebases, and personal knowledge management.

Question 2

How much does Knowledge Rag cost?

Accepted Answer

Knowledge Rag offers the following pricing tiers: Open Source.

Question 3

What type of tool is Knowledge Rag?

Accepted Answer

Knowledge Rag is an AI mcp focused on document-processing, model-integration, search-optimization, knowledge-retrieval, rag-pipelines, retrieval-augmented-generation, knowledge-base-management, data-privacy, knowledge-management, hybrid-search, contextual-search, offline-access, open-source-toolkit.

Question 4

Who makes Knowledge Rag?

Accepted Answer

Knowledge Rag is made by lyonzin (open-source, GitHub) (https://github.com/lyonzin/knowledge-rag).

Knowledge Rag

About Knowledge Rag

Resources

Product Website

Community