Accurate customer answers grounded in truth, never hallucinated
When an AI chatbot invents a discount code or return policy, your business pays the cost. Atal AI retrieves exact verified passages from your own manuals, contracts, and knowledge base with mandatory inline source citations.
π‘οΈ No credit card required β’ 5-minute setup β’ Free tier available
Can I return an item 45 days after delivery?
Our standard return window is 30 days from delivery. After 45 days, returns can only be accepted if the item is defective under the 1-year manufacturer warranty.
Closed-Domain
Grounded Answers
Refuses when the answer isn't in your sources
Attributed
Source Citations
Passages cite matching documentation passages
Hybrid
Dense & Sparse Search
Hybrid vector search (BGE-M3) and BM25 keyword matching
24/7
Availability
Customer inquiries resolved without waiting for human availability
Enterprise RAG Architecture That Protects Your Brand
Built for companies where a wrong answer causes legal, financial, or reputational damage.
Dense & Sparse Hybrid Semantic Search
Combines dense neural embeddings (BGE-M3) with exact keyword matching (BM25). Whether a customer searches by conceptual symptom or specific SKU part number, the correct section is located instantly.
- β1024-dimensional semantic dense vectors
- βExact keyword match for technical SKUs & error codes
- βAutomatic language-agnostic cross-lingual matching
POST /v1/agent/action-dispatcher
β Security assertion: OK
β Permission boundary: VALIDATED
β Transaction status: COMMITTED
Cross-Encoder Reranking Layer
Top candidates from initial retrieval pass through a high-precision cross-encoder reranker that evaluates context relevance against the query before LLM prompt injection.
- βFilters out marginal or out-of-date document chunks
- βEnsures highest priority policies always take precedence
- βReduces prompt token costs and generation latency
POST /v1/agent/action-dispatcher
β Security assertion: OK
β Permission boundary: VALIDATED
β Transaction status: COMMITTED
Explicit Refusal & Graceful Escalation
When retrieved documents do not contain the answer, Atal AI never guesses. It politely states it does not know, captures the customerβs contact details, and routes the ticket to your human team with full transcript history.
- βConfigurable confidence score refusal threshold
- βAutomatic lead capture on unknown inquiries
- βGaps automatically surfaced in the Knowledge Gaps report
POST /v1/agent/action-dispatcher
β Security assertion: OK
β Permission boundary: VALIDATED
β Transaction status: COMMITTED
The Grounded Knowledge Lifecycle
How your documents become verified customer answers in seconds.
Ingest & Chunk
Upload PDFs, text, or crawl URLs. Text is parsed, split into 500-token semantic chunks, and embedded.
Hybrid Retrieval
Incoming customer questions trigger simultaneous vector similarity search and exact keyword lookups.
Rerank & Filter
Cross-encoder scores candidate chunks. Only chunks clearing confidence thresholds are passed to the model.
Synthesize with Citation
The model drafts a clear answer citing exact source documents, or escalates if information is missing.
Frequently Asked Questions
Clear answers to common questions about security, pricing, and integrations.
How does Atal AI avoid hallucinations?
Atal AI operates on closed-domain grounded retrieval. It is strictly constrained to the text extracted from your uploaded documents and website crawls. If the retrieved context does not clear confidence thresholds, it refuses to guess and transfers to an agent.
What file formats and sources can I upload?
You can upload PDFs, Word documents (DOCX), plain text files, markdown, and spreadsheet tables, or simply point our crawler at your public documentation and help center URLs.
Does it support multilingual questions and answers?
Yes. The underlying embedding model (BGE-M3) and LLM architecture natively understand cross-lingual semantic matching across 100+ languages.
What happens when content in my documentation changes?
Re-uploading or updating a document triggers instant chunking and vector re-indexing. Deprecated chunks are purged from vector memory immediately.
Never let an AI invent your company policy again
Upload your documents in minutes and provide 24/7 grounded support to your customers.
Free tier included β’ No credit card required β’ Credentials encrypted (AES-256-GCM)