Chatbots & Retrieval-Augmented Generation

We build domain-specific conversational systems backed by Retrieval-Augmented Generation (RAG). This allows your chatbot to respond based on your internal documentation, policies, emails, PDFs, and knowledge bases — with higher accuracy than generic models.

Our RAG solutions include data ingestion pipelines, embedding optimization, chunking strategies, vector search tuning, context re-ranking, and guardrails to ensure the chatbot remains factual and aligned with your policies.

Chat interfaces can be deployed across web, mobile, internal tools, or as APIs integrated into your workflows.

Use cases