Adding Long Term Memory to AutoGPT with Pinecone
In this article, we will talk about how to add long term memory to AutoGPT using Pinecone. AutoGPT is an experimental GPT-4 project that has been gaining popularity in the AI industry.
What is Pinecone?
Pinecone is a vector database that allows AI agents to store and retrieve vast quantities of vector-based memory. With the help of Pinecone, we can add long-term memory to our autonomous AI agents.
Setting up AutoGPT with Pinecone
Before setting up long-term memory with Pinecone, we need to configure and install AutoGPT. Once this is done, we can move on to the next step of adding Pinecone to AutoGPT.
Firstly, we need to create an account with Pinecone and obtain an API key. Once we have the API key, we can use it to configure Pinecone in our AutoGPT environment.
After doing that, we need to make some changes to the .env file in AutoGPT. We need to add the following:
- PINECONE_API_KEY = [Your API key]
- PINECONE_INDEX_NAME = [Your index name]
Now, we can see an empty index set up in our Pinecone console, by running this command in the AutoGPT environment: python -m autogpt
Ingesting Data into AutoGPT
Next, let's look at how we can pre-seed our memory backend with other files. We can create a new folder called DataFolder within the auto_gpt_workspace folder. For instance, we can add the Attention is All You Need paper to our DataFolder. We can convert it to .txt using any PDF to text tool or LangChain.
To ingest data into AutoGPT, we can use the data_ingestion.py script. We can use the following parameters:
- --name [Name of the file]
- --role [The role of the agent]
- --goal [The goals we set]
We can fine-tune these parameters to control how the documents are presented to AutoGPT when it "recalls" that memory. After ingesting the file into memory, we can see the total vectors of the index in Pinecone.
Conclusion
While it's been interesting to experiment with long term memory, local cache should suffice for most personal use cases. AutoGPT is still in its experimental stage, and it is not meant to be production-ready. Nonetheless, AutoGPT sure is fun to experiment with, and it's becoming increasingly clear that autonomous agents will play a significant role in AI in the coming years.
Remember to use Pinecone & AutoGPT with caution. At the time of writing, Pinecone no longer offers a free plan, and AutoGPT leaves the Pinecone index service running unless terminated manually, resulting in charges for cloud resources.
