RAG Chatbots — Private AI Assistants for Your Data
Fynorra builds Retrieval-Augmented Generation chatbots that combine LLMs with your internal knowledge bases for accurate, context-aware answers — without exposing sensitive data.
Why choose Fynorra RAG Chatbots?
Retrieval-Augmented Generation combines vector search with powerful language models. The result: chatbots that pull directly from your company data, delivering precise, context-aware answers.
Key features
- Embeddings + Vector DB (Pinecone / Milvus / Weaviate)
- Hybrid keyword + semantic search
- Context window management & memory
- Custom prompt templates & tool integrations
- Monitoring, analytics & feedback loop
Perfect for
- Customer support automation & 24/7 help desk
- Employee knowledge assistant — HR, IT, SOPs
- Legal and compliance Q&A over contracts
- Sales enablement — product specs and pricing lookup
FAQs
How private are RAG chatbots?
We deploy in your VPC or on-prem, encrypt data at rest and in transit, and never share your documents without authorization.
Which vector DB do you use?
We often recommend Pinecone or Weaviate, but we adapt to your preferred stack and infra.
How quickly can you deliver a pilot?
A typical pilot (one knowledge base + prototype UI) takes 2–4 weeks depending on your data readiness.