Build a Reinforcement Learning Powered Agent that Learns to Retrieve Relevant Long-Term Memories for Accurate LLM Question Answering
In this tutorial, we construct a Reinforcement Learning–pushed agent that learns how to retrieve related reminiscences from a long-term reminiscence financial institution. We begin by setting up a artificial reminiscence dataset and producing queries that require the agent to recall particular data. Using OpenAI embeddings, we convert each reminiscences and queries into vector representations, enabling…
