RAG Knowledge Base
Upload your docs, link your URLs, and let the AI answer questions with grounded, cited responses — not hallucinations.
Build a knowledge base your AI actually uses
Upload docs and URLs
Upload PDFs, Word docs, and plain text files, or paste URLs to crawl. Orqelo indexes them and makes them queryable immediately.
AI-powered search with citations
Every AI answer includes source citations — the exact document and passage the answer came from. No black-box responses.
Source grounding
The AI is constrained to answer only from your indexed content. If the answer isn't in the knowledge base, the AI says so and escalates.
Document versioning
Replace a document and the new version is indexed. Old versions are archived. The AI always answers from the latest content.
Technical implementation
Vector embeddings
Uploaded documents are chunked, embedded via a vector model, and stored in a per-tenant vector index. Retrieval uses approximate nearest-neighbour search against the query embedding.
Retrieval-augmented generation
At query time, the top-k relevant chunks are retrieved and injected into the LLM prompt as context. The model is instructed to answer only from the provided context and cite sources.
Citation display
Source citations are structured data — not prose. The frontend renders them as expandable references so users can verify the source.
Build your knowledge base today
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