
Creating a Next Js chatbot using Langchain involves setting up a new project with the required dependencies, including Next Js and Langchain.
To start, you'll need to install the necessary packages, including langchain and @langchain/jarvis-next-js.
Langchain is an open-source framework for building conversational AI applications, and Jarvis is a Next Js plugin that provides a pre-built setup for Langchain.
To begin, create a new Next Js project using the command "npx create-next-app my-app".
Getting Started
Lane chain offers a starter chat template specifically for Next.js to simplify the development process.
To create a Next.js chatbot, you'll need Next.js, LangChain, and Pinecone.
This template provides a foundation for creating interactive chat applications using the combined power of Lane chain and Next.js.
Building the Chatbot
Next.js provides a dedicated code space for LangChain on their documentation platform, which includes resources and examples specifically tailored for creating chat applications using Next.js in the LangChain environment.
To simplify the development process, LangChain offers a starter chat template specifically for Next.js, providing a foundation for creating interactive chat applications using the combined power of LangChain and Next.js.
The chat service handles operations related to chats, including fetching the list of chats, posting a new chat, and getting an answer from the chatbot.
Here are the key chat service operations:
- fetchChats: Fetches the list of chats for a given room from the Supabase database, ordered by creation date.
- postChat: Posts a new chat message to the database.
- getAnswer: Gets an answer from the chatbot based on the user’s chat message, using the LangChain library to retrieve the most relevant documents from the vector store and generates a response using OpenAI’s language model.
Configuring and Debugging
Debugging Common Issues will be a part of your testing phase, so be prepared to encounter common issues such as response delays or inaccurate answers.
Utilize debugging tools provided by Next.js, LangChain, and Pinecone to troubleshoot and resolve these challenges effectively.
Config
Config is a crucial aspect of Next.js development. You need to update your Next.js config file if you're using Web PDF Loader from Langchain, as it depends on the fs module that will throw an error in the browser.
To avoid this issue, update your config file with the snippet provided in the Next.js Config section. This will ensure a smooth development experience.
Curious to learn more? Check out: Next Config Js
File Service
The File Service is a crucial component of our system, responsible for handling file-related operations. It's where we fetch the list of uploaded files from the Supabase database, ordered by creation date.

The File Service has two key functions: fetchFiles and saveFile.
FetchFiles is a straightforward operation that retrieves the list of files. It's a quick way to get an overview of what's been uploaded.
The saveFile function, on the other hand, is more complex. It not only saves a new file to the database but also converts the PDF content to vectors using the Langchain library. These vectors are then stored in the Supabase vector store.
Here's a quick rundown of the File Service's key functions:
- fetchFiles: Fetches the list of uploaded files from the Supabase database, ordered by creation date.
- saveFile: Saves a new file to the database, converts the PDF content to vectors using the Langchain library, and stores the vectors in the Supabase vector store.
Debugging Common Issues
Debugging common issues is a normal part of the testing phase. Be prepared to encounter problems like response delays or inaccurate answers.
Response delays can be frustrating, but there are tools to help you troubleshoot. Utilize debugging tools provided by Next.js to resolve these challenges effectively.
Inaccurate answers can be caused by a variety of factors, including poor data quality or incorrect model training. LangChain can help you identify and address these issues.
Pinecone is another useful tool for debugging, particularly when it comes to data-related problems. Its features can help you pinpoint the source of the issue and make the necessary corrections.
Explore further: Next Js Fetch Data save in Context and Next Route
Pinecone
Pinecone is a powerful tool that can help you optimize your chatbot's performance continually.
Staying updated on new features and best practices is crucial for getting the most out of Pinecone.
Continually learning and testing will help you elevate your chatbot into a sophisticated conversational interface that delivers exceptional user experiences.
Sources
- https://myscale.com/blog/nextjs-chatbot-langchain-pinecone-step-by-step-guide/
- https://www.toolify.ai/ai-news/master-next-js-13-with-langchain-and-langsmith-202766
- https://blog.gopenai.com/building-a-next-js-chatbot-chatgpt-with-your-own-data-using-langchain-openai-and-supabase-a770e3fa9163
- https://wasp-lang.dev/blog/2024/08/13/how-to-add-auth-with-lucia-to-your-react-nextjs-app
- https://docs.smith.langchain.com/old/cookbook/feedback-examples/nextjs
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