or at least the first few neurons of one
This project implements semantic search over a vector database, consisting of embedded Telegram chats as well as any weblinks from the chats. It also implements a LLM contextual search over the semantic search results.
Run 'pip install .' from the base folder of the repo.
Make sure you have an OPENAI_API_KEY set as an environment variable. This is used for summarising long websites when creating a new database with links. It is also used for embedding each query text.
See notebooks/langchain.ipynb for an example of creating a new vector database and adding information to it, as well as running an end-to-end query.
If you have ideas for releases in the future, it is a good idea to list them in the README.
Mayank Soni
-- Initial protoype done together as part of AI Singapore AIAP Mini-project Tan Yan Liong Marvin Ng Benjamin Phang
No license