grounding-ai
andyliszewski/grounding-ai
Local searchable index of PDFs, EPUBs and Word documents for grounded answers with page and section citations.
- Local integrations
Installation, supported tools and required credentials are maintained by the project.
Project details
- GitHub stars
- 1
- Language
- Python
- License
- MIT
- Forks
- 0
- Latest release
- v0.3.06mo ago
- Activity
- updated 1mo ago
- anthropic-mcp
- embeddings
- faiss
- llm-tools
- local-first
- local-llm
- mcp
- ollama
First MCP server?Start with the basics
Access Vectara's RAG-as-a-service platform.
Academic paper knowledge base over local PDFs: MinerU parsing, metadata normalization, Qdrant vector search with reranking and paginated full-text reading.
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.
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.