Turns docs, GitHub repos, PDFs, videos, Notion and chat exports into AI skills and RAG knowledge, exportable to vector databases.
Setup
This project documents no single launch command; follow its repository instructions.
Skill Seekers
yusufkaraaslan
Related
More- RRAG Docs MCPhannesrudolphRetrieves and processes documentation via vector search to add relevant context to answers.Knowledge & Memory265 Repository stars
- RMCP RAG Docsqpd-v让智能体从网址或本地文件导入文档，存入 Qdrant 向量库并做语义检索。Knowledge & Memory136 Repository stars
- RRAG Docs MCP Serverrahulretnan对文档建立向量索引并做语义检索，让智能体引用相关文档内容来回答问题。Knowledge & Memory65 Repository stars
- DMCP Docs RAGkazuphTypeScript server that answers questions over locally stored repositories and text files using retrieval-augmented generation.Knowledge & Memory17 Repository stars
- GGraphiti MCP ServerZepOfficialLets agents build and query temporally aware knowledge graphs, adding interactions and data incrementally and retrieving history.Knowledge & Memory32.1k Repository stars
- AAWS Bedrock KB RetrievalAmazon Web ServicesOfficialQuery Amazon Bedrock Knowledge Bases in natural language, with data source filtering and result reranking.Knowledge & Memory9.8k Repository stars