RAG Chat Agent Solutions

We build Retrieval-Augmented Generation (RAG) chat agents that answer from your knowledge base, with sources cited, so responses stay accurate and up to date.

What We Build

• Knowledge Ingestion Pipelines: Connect PDFs, websites, wikis, drives and databases, with automatic chunking, cleaning and refresh
• Hybrid Retrieval: Vector and keyword search with re-ranking for precise, relevant context
• Cited, Grounded Answers: Responses link back to source passages and decline politely when the answer is not in the data
• Multi-Channel Delivery: Web widget, Slack, Teams, WhatsApp and API access to the same agent
• Evaluation & Guardrails: Quality tests, hallucination checks, PII filtering and role-based document access

Benefits

Teams and customers get instant, trustworthy answers from company knowledge, which cuts support load and the time spent searching for information.

Use Cases

• Customer support and help-centre assistants
• Internal HR, IT and policy helpdesks
• Sales enablement and product knowledge bots
• Legal, compliance and technical document Q&A