Agentic RAG Platform
Reliable answers from company documents—with grounding, citations and an architecture ready for agents.
The challenge
Business knowledge is often trapped inside policies, manuals and research PDFs. Generic chat tools can hallucinate, hide their sources and remain difficult to integrate into real products.
What 13Floors built
13Floors designed a clean RAG pipeline for ingestion, chunking, embeddings, semantic retrieval and grounded generation. Project isolation, configurable retrieval and an API layer make the foundation practical for real workflows.
The value created
Teams can reach trusted answers faster, trace every response to its source and extend the same foundation into routed, tool-using agent workflows.
Technology
- Python
- LangChain
- FAISS
- OpenAI
- Hugging Face
- FastAPI
- Streamlit
- Pydantic