Launched this week
Streamlit
Grounding your AI in your own data, with absolute precision
6 followers
Grounding your AI in your own data, with absolute precision
6 followers
Webygraphy RAG is a high-fidelity information retrieval system designed to eliminate AI hallucinations. By bridging the gap between large language models and your proprietary data, our architecture ensures that every generated insight is anchored in your actual business documents. We specialize in building secure, context-aware pipelines that provide verifiable, real-time intelligence for your most complex operational datasets
How does the retrieval actually stay accurate when the source documents get updated frequently, and is reindexing automatic or something I have to trigger manually?
Spent a few minutes testing the retrieval on some internal docs and was impressed by how clean the citation anchors came back. The fact that it doesn’t drift into vague summaries is a nice change.