What is RAG? (Retrieval-Augmented Generation)
2 min read · Bolcho
RAG — retrieval-augmented generation — is the technique of grounding a language model's answers in your own documents. Instead of relying only on what the model memorised, the agent retrieves the most relevant snippets from your knowledge base and answers from them, dramatically reducing wrong or made-up answers.
RAG (Retrieval-Augmented Generation) explained
Your content — product docs, price lists, policies, FAQs — is indexed. When a caller asks something, the system finds the most relevant passages and hands them to the model, which answers using those facts and cites them if needed.
This is how a voice agent gives accurate, up-to-date, business-specific answers without you retraining a model every time a price changes.
How it works
Documents are split into chunks and embedded into a vector index (often combined with keyword search for precision). At query time the agent retrieves the top matches and grounds its reply in them, so answers track your latest content.
How Bolcho handles it
Bolcho includes a built-in knowledge base with hybrid retrieval.
Grounded, up-to-date answers
Upload your docs and the agent answers from them using hybrid (semantic + keyword) search — so it quotes your real prices and policies instead of hallucinating, and updates the moment your content does.
Why it matters for voice AI in India
For Indian SMBs whose prices, offers and policies change often, grounding the agent in a knowledge base keeps it accurate without engineering — and it works the same across every language the agent speaks.
See it in a real agent
Bolcho handles this for you end-to-end. Start a voice or chat agent free.
Frequently asked questions
What is RAG in simple terms?
It's letting a voice agent look up answers in your own documents before it replies, so it quotes real facts (prices, policies) instead of guessing.
Does RAG reduce hallucinations?
Yes — grounding answers in retrieved, relevant passages sharply reduces made-up or outdated responses.
How does Bolcho do RAG?
It has a built-in knowledge base with hybrid (semantic + keyword) retrieval — upload your docs and the agent answers from them, in any language it speaks.