Part 6/8:
Within the agent node, ensure the prompts are clear and comprehendible. This is vital for the agent to correctly interpret user requests. For contextual engagement, we recommend using the language model optimally designed for cost-efficiency and performance—like the 04 Mini model.
Memory Management and Knowledge Base
Incorporating a memory feature allows the agent to recollect past interactions, enhancing user experience. This stores past conversations and further personalizes responses.
Moving on, activate your vector store—this connects to the Pinecone database. Modify the operating mode to retrieve documents, ensuring that it's set according to your previous index configurations.