Welcome to the Timescale Vector Time Machine

Chat with the git history of any git repo.

• Built with OpenAI, LlamaIndex, Streamlit and Timescale Vector.
• TSV Time Machine is an example of time aware retrieval augmented generation. Time aware retrieval involves RAG with a retrieval step that searches for vectors that are semantically most similar to a user query and that also fall within a specified time range.
• TSV Time Machine enables you to go back in time and chat with the commit history of any GitHub repository. Each Git commit entry has a timestamp associated with it, as well as a natural language message and other metadata (e.g author, commit, hash etc).

See a live demo of the app here.

• The demo is pre-loaded with the history from PostgreSQL. The demo disables loading data from other git repos. To load data, launch your own fork.

Get a free PostgreSQL vector database to use with this app

Spin up a free cloud PostgreSQL database with Timescale Vector to use in this sample app. You'll get 90 days free by signing up with the link above.

Launching a fork.

To load data and try the demo on any other git repo, simply:

1. Fork the repo
2. Launch your own streamlit app.
3. Set the following streamlit secrets:
   • OPENAI_API_KEY - Your openAI key.
   • TIMESCALE_SERVICE_URL - Your Timescale Service URL. Sign up for an account here.
   • ENABLE_LOAD=1 - Enables Loading Data