No embeddings. No retrieval. No chunks. Upload your document and query it with full context — forever.
RAG splits documents into chunks and hopes retrieval catches everything. It doesn't. And when it misses, the model never gets a chance to reason correctly.
Upload a document. We turn it into a Document Skill — a persistent AI expert that understands everything in it. Query it forever.
For documents that exceed a single context window, we split automatically. Every section becomes its own expert. An Orchestrator routes queries to the right one.
| Aspect | RAG | Document Skill |
|---|---|---|
| Knowledge access | Vector retrieval | Full document context |
| Document understanding | Partial chunks, broken structure | Complete document, structure preserved |
| Lost in the middle | Common failure mode | Each expert has bounded, focused context |
| Multi-section reasoning | Depends on retrieval catching everything | Full document always present |
| Pipeline complexity | Embeddings, vector DB, reranking, tuning | None |
| Updates | Hours of re-indexing | Recreate expert in minutes |
| Cost model | Retrieval cost on every query | Create expert once · Compute per query only |
| Answer citations | Which chunks were retrieved | Exact page and section references |
Document Skills work best for structured, stable enterprise knowledge — where wrong answers are expensive and full context matters.
Upload a PDF and create your first Document Skill in minutes. No credit card required.
Get started free →No embeddings · No vector database · No retrieval pipeline · Query forever