🛠️The agent has access to a vector store retriever as a tool as well as a memory. It's particularly well suited to meta-questions about the current conversation.
💻You can find the prompt and model logic for this use-case in app/api/chat/retrieval_agents/route.ts.
🤖By default, the agent is pretending to be a robot, but you can change the prompt to whatever you want!
🎨The main frontend logic is found in app/retrieval_agents/page.tsx.
🔱Before running this example, you'll first need to set up a Supabase (or other) vector store. See the README for more details.
👇Upload some text, then try asking e.g. What are some ways of doing retrieval in LangChain? below!