LangChain + Next.js Template

▲ + 🦜🔗

🔗This template showcases how to perform retrieval with a LangChain.js chain and the Vercel AI SDK in a Next.js project.
🪜The chain works in two steps:
- 1️⃣First, it rephrases the input question into a "standalone" question, dereferencing pronouns based on the chat history.
- 2️⃣Then, it queries the retriever for documents similar to the dereferenced question and composes an answer.
💻You can find the prompt and model logic for this use-case in app/api/chat/retrieval/route.ts.
🐶By default, the agent is pretending to be a talking puppy, but you can change the prompt to whatever you want!
🎨The main frontend logic is found in app/retrieval/page.tsx.
🔱Before running this example on your own, you'll first need to set up a Supabase vector store. See the README for more details.
👇Upload some text, then try asking e.g. What is a document loader? below!