Retrieval-Augmented Generation
RAG Development Services
PixoBots builds RAG systems that let AI answer from your own documents, wikis and databases - accurately and with citations - instead of guessing. Enterprise knowledge assistants, internal search and customer support that stay grounded in your data.
Our RAG development capabilities
- Document ingestion, parsing & chunking
- Vector search & hybrid retrieval
- Grounded answers with source citations
- Access control & data privacy
- Evaluation & hallucination checks
- Claude, GPT & open-model support
- Integration with your data sources
- Monitoring, feedback & continuous tuning
What we deliver
Knowledge assistants
Staff and customers get answers from your own content, instantly.
Grounded search
Semantic search across docs, tickets and databases - not just keywords.
Citations & trust
Every answer links back to its source, so people can verify it.
Secure & private
Role-based access and private deployment keep sensitive data protected.
Explore related services
Ground your AI in your data
Tell us about your goals and we'll get back to you within 24 hours.
Frequently asked questions
What is RAG (retrieval-augmented generation)?
RAG is a technique where an AI model retrieves relevant passages from your own documents and data at answer time, then generates a response grounded in them - so answers are accurate, current and cited instead of made up.
Why choose RAG over fine-tuning?
RAG is faster, cheaper and easier to keep current - you update the knowledge base, not the model. Fine-tuning changes style or behaviour; RAG supplies facts. Many systems use both, and we advise on the right mix.
Does RAG keep our data private?
Yes. We deploy with access controls, encryption and private or self-hosted options so your documents never leak, and users only retrieve content they are permitted to see.
How do you prevent hallucinations?
We combine strong retrieval, citation of sources, answer-grounding checks, evaluation datasets and fallbacks so the assistant says 'I don't know' rather than inventing - and we monitor quality over time.