scholar-rag
notwhiteblank/scholar-rag-mcp
Academic paper knowledge base over local PDFs: MinerU parsing, metadata normalization, Qdrant vector search with reranking and paginated full-text reading.
- Local integrations
Installation, supported tools and required credentials are maintained by the project.
Project details
- GitHub stars
- 5
- Language
- Python
- License
- MIT
- Forks
- 0
- Activity
- updated 1mo ago
- Platforms listed
- Linux
First MCP server?Start with the basics
Access Vectara's RAG-as-a-service platform.
Access the CustomGPT.ai RAG-as-a-service API.
Add RAG-based AI chat to any website: local vector store, OpenAI, Anthropic or Gemini models, a self-contained chat server and an embeddable widget.
Local searchable index of PDFs, EPUBs and Word documents for grounded answers with page and section citations.
Rule-based decisions: a Rete engine returns verdicts explained via retrieval over your policy documents, with rules drafted from policy text and saved as YAML.