Robo-mo is a chatbot over the Momento documentation and blogs. Indexing and consulting the Momento documentation is done using Momento Vector Index by way of the langchain integration.
With Momento Vector Index, indexing and searching over vector embeddings is easier than ever!
In this project we demo a chatbot over the Momento tech docs and blogs. This covers the following:
- Indexing the Momento documentation and blogs into MVI
- Running a chatbot over the indexed data
There are two ways to run the chatbot:
- a Streamlit app that runs the chatbot, good for standalone use and local demos
- a FastAPI app that runs the chatbot using langserve, good for backend use and integration with other services
Each of these implementations is self-contained and can be run independently. See the README.md in each directory for more information.
The project is structured as follows:
.
├── robo-mo-langserve ............. backend implementation of the chatbot using langserve
├── robo-mo-streamlit ............. frontend implementation of the chatbot using Streamlit
├── robo-mo-discord-bot ........... Discord bot integration with `robo-mo-langserve`
├── lambdas ....................... AWS lambda function to re-index Momento data using `robo-mo-langserve`'s reindex API
├── infrastructure ................ CDK infrastructure code to deploy the above
The easiest way to run is to run the streamlit app. See the README.md in robo-mo-streamlit for more information.
To deploy to AWS, deploy the CDK in the infrastructure directory. See the README.md in infrastructure for more information.