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Whitepaper cover featuring a coding laptop on a desk and a small orange plush decoration, along with the headline about advanced machine learning for RLHF and RAG chatbots.
White paper page discussing the role of RAG and RLHF in production chatbots, featuring text on LLM expectations, key building blocks, and two highlighted steps for generating a data model and running an ELT pipeline.
Informational page describing the RLHF process and its business impact, featuring text about supervised reward cycles and value points like lower agent load and better conversion rates.

Whitepaper

RLHF for RAG Chatbots: a Guide for Advanced Machine Learning

December 12, 2025

Maksim Lukhanin

5 min to read

According to a recent Adobe survey, 77% of users already choose ChatGPT over Google search to find information and solve tasks. This signals a clear shift: user habits are changing, and their expectations are rising accordingly. Technically, we are at a point where technology itself is shaping market demand (machine learning and large language models). 

One of the leading ML technologies today is RLHF (Reinforcement Learning with Human Feedback). Still relatively new in the enterprise segment, it has already proven its strengths in LLM learning. We’ve prepared a short guide to RLHF for enterprise chatbots, where you’ll find:

  • how RLHF works in practice,
  • examples from different industries,
  • pilot metrics and outcomes,
  • how to integrate RLHF into a RAG-based chatbot.

Download the full PDF to learn what potential RLHF has for your corporate AI chatbot.

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