Conversational AI & RAG
Production conversational AI that streams answers in real time, remembers the conversation, cites every source, and works across any LLM provider, at a speed and scale off-the-shelf chatbots can’t touch.
What it is
A grounded, agentic conversational backend for teams that need instant, trustworthy answers with live information and cited sources. Retrieval-augmented generation keeps answers anchored to your own sources instead of a model’s guesswork, and the same multi-tenant foundation serves multiple clients and channels, including WhatsApp.
What we build
- Real-time streaming chat with automatic source citations and multilingual, follow-up-aware answers
- Agentic tool use (live web search, crawling, and RAG retrieval) orchestrated with LangGraph
- Retrieval over the Model Context Protocol, with reranking and automatic citation
- Horizontally scaled, containerized services built for production load
How it deploys
Docker Compose deployment with horizontally scaled workers, rate limiting, and hardened security headers, deployable inside your own cloud.
We built this for a high-traffic consumer platform: real-time, cited answers across languages, serving many clients on one multi-tenant runtime.
Read the case studyNeed trustworthy answers at scale?
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