OTUS free RAG workshop teaches enterprise support teams document retrieval on July 6
A free Russian-language lesson on retrieval-augmented generation shows how to turn internal documents into queryable knowledge bases for customer support agents.
OTUS Online Education is hosting a free open lesson on July 6 at 20:00 Moscow time on retrieval-augmented generation for customer support. The session walks through how large language models retrieve and synthesize company documentation to help support agents answer customer questions, turning internal documents into a queryable knowledge base rather than relying on the model to generate answers from scratch.
Retrieval-augmented generation has become the standard pattern for enterprise LLM deployments. Instead of relying on a model's parametric memory or fine-tuning on proprietary data, RAG systems index internal documents at ingestion time, search that index when a query arrives, and feed the retrieved passages into the model's context window alongside the user's question. The approach sidesteps hallucination risks and keeps answers anchored to verifiable company sources — critical when support agents are drafting replies that carry legal or contractual weight.
The workshop covers the full pipeline: how documents are chunked and embedded, how vector search ranks candidate passages, and how the LLM synthesizes those passages into a draft response for the agent to review and send. Instructors will use live examples to show each stage, from raw document ingestion to final answer generation. Attendees can ask questions about deployment challenges, tooling choices, and integration with existing ticketing systems. Registration opens at otus.pw/vn5P.
