Agents that answer from your data
Connect your documentation, FAQs, and internal knowledge. Your AI agents retrieve real answers from your actual data using RAG — no hallucinations, no guessing.
Document Ingestion
Upload PDFs, web pages, or text documents. Chanl chunks, embeds, and indexes them automatically for fast retrieval.
Semantic Retrieval
Agents find the right answer even when customers use different words. Vector search matches meaning, not just keywords.
Grounded Answers
Agents cite sources and stay grounded in your data. No more confidently wrong answers from training data.
From documents to agent-ready answers
Upload your docs and Chanl handles the rest — chunking, embedding, indexing, and retrieval. Your agents get accurate, sourced answers in every conversation.
- Automatic chunking and embedding on upload
- Support for PDF, HTML, and plain text
- Configurable chunk size and overlap
- Real-time index updates when docs change
Document Sources
3 sources · 50 chunks
Find the right answer, every time
Vector similarity search retrieves the most relevant chunks from your knowledge base. Customers ask in their own words and still get the right answer.
- Cosine similarity with configurable thresholds
- Hybrid search (vector + keyword) for precision
- Per-agent knowledge base scoping
- Source attribution in agent responses
Full refund within 30 days. Items must be unused and in original packaging.
Keep your agents current
Update documents and the knowledge base re-indexes automatically. No stale answers, no manual reprocessing. Manage knowledge per workspace and per agent.
- Automatic re-indexing on document updates
- Per-agent and per-workspace knowledge scoping
- Usage analytics — which docs get cited most
- Bulk document management via API and CLI
Product Catalog 2026.pdf
142 chunks · Mar 24
docs.acme.com/api
284 chunks · Just now
FAQ — Shipping
67 chunks · Mar 21
Training Manual v3
196 chunks · Mar 18
Every answer cites its source
Your agents don't just answer — they show exactly where the answer came from. Customers see document names, page numbers, and relevance scores. Your team audits which docs drive conversations.
- Inline citations with document name and chunk reference
- Relevance confidence scores on every retrieved chunk
- Audit trail — trace any answer back to the original source
- Flag low-confidence responses for human review
Source Citations
3 sources referenced
Electronics may be returned within 30 days of purchase in original packaging.
Section 3.2Free return shipping labels are provided for all electronics orders.
Paragraph 7Premium tier includes extended 90-day return window.
Page 14Different agents, different knowledge
Your billing agent doesn't need your product docs. Your onboarding agent doesn't need your refund policy. Scope knowledge per agent so each one only retrieves what's relevant — fewer hallucinations, faster responses.
- Assign specific documents or collections to each agent
- Workspace-wide knowledge base shared across all agents
- Agent-specific overrides for specialized context
- Test knowledge retrieval before deploying to any channel
Agent Knowledge
Scoped per agent
Ready for agents that know your product?
Connect your documentation and give your AI agents accurate, sourced answers. No more hallucinations.