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:
- Fork the repo
- Launch your own streamlit app.
- 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