Maintain chat history in generative AI apps with Valkey

Maintain chat history in generative AI apps with Valkey

Integrate Valkey with LangChain

Abhishek Gupta
Amazon Employee
Published Jul 1, 2024
A while back I wrote up a blog post on how to use Redis as a chat history component with LangChain. Since LangChain already had Redis chat history available as a component, it was quite convenient to write a client application.
But, thats not the same with langchaingo which is a Go port of LangChain. I am going to walk through how do to do the same, but for Valkey (not Redis). Valkey is an open source alternative to Redis. It's a community-driven, Linux Foundation project created to keep the project available for use and distribution under the open source Berkeley Software Distribution (BSD) 3-clause license after the Redis license changes.
I also wrote about a similar approach for DynamoDB as well as how to use Valkey with JavaScript
Refer to Before You Begin section in this blog post to complete the prerequisites for running the examples. This includes installing Go, configuring Amazon Bedrock access and providing necessary IAM permissions. The application uses the Anthropic Claude 3 Sonnet model on Amazon Bedrock.

Run the chat application

The chatbot is a simple CLI application. Before we run it, let's start a Valkey instance using the Valkey Docker image:
Also, head over to https://valkey.io/download to get OS specific distribution, or use Homebrew (on Mac) - brew install valkey. You should now be able to use the Valkey CLI (valkey-cli).
Clone the app form GitHub and run the chat application:
Start a conversation - as you do that, all the conversation history will be stored in Valkey.
If you peek into Valkey, notice that the conversations are saved in a List:
Don't run keys * in production - its just for demo purposes

Chat history component implementation

You can refer to the complete implementation here. The component implements the schema.ChatMessageHistory interface methods in langchaingo and uses List data structure behind the scenes. Starting the application creates a new "chat session" is associated with a List - each new instance will be backed by a separate List.
Key methods that were implemented:
  • AddMessage - Stores a conversation message, using LPUSH
  • Messages - Retrieves all the messages in a conversation using LRANGE
  • Clear - Deletes all messages in a conversation using DEL


It's important to note that it's possible to use any Redis-compatible client with Valkey. I used the go-redis client, but (at the time of writing) there is work underway to build Valkey specific client libraries. Check the Valkey GitHub org to take look at the forks of existing Redis client libraries such as valkey-go (corresponding to rueidis), iovalkey (corresponding to ioredis), Jackey (corresponding to jedis) etc. These are very early days (at the time of writing), and it will be interesting to see the progress!
Happy building!

Any opinions in this post are those of the individual author and may not reflect the opinions of AWS.