AI that knows your documents
Upload internal documentation — Chat answers questions based on current data, not just the model's general knowledge.
Context Manager & RAG
Knowledge bases for AI. Named contexts with text, documents (PDF, DOCX, XLSX, CSV, TXT, MD) and images. Automatic chunking, embeddings and vector search. Connect to AI Chat.
What you get
Semantic search, not keyword search
Vector search finds relevant fragments even if you phrase the question differently from what is written in the document.
Any format
PDF, DOCX, XLSX, CSV, TXT, MD, images — everything is uploaded, text is extracted and indexed.
Organization by topic
"API Documentation" context, "HR Handbook" context, "Competitors" context — each connects to Chat independently.
RSS integration
The "Context" button on an article card saves it — your knowledge base grows automatically from RSS feeds.
Spreadsheet analysis
Upload an XLSX with sales data as a context — then ask Chat about specific metrics.
Vision for images
Upload UI screenshots — AI describes and analyzes the interface through a vision model.
Index rebuild
Updated documents — click "Rebuild" to recreate all vectors so search works on the latest data.
Statistics
See chunk count, element count, database size and last build date — understand the volume and freshness of your base.
Replaces corporate wiki search
Instead of searching through a 500-page PDF or Confluence — ask Chat a question and get a precise answer with context.