BambooAI runs in a loop (until user decides to end it).

Allows mixing of different models with different capabilities, token costs and context windows for different tasks.

Maintains the memory of previous conversations.

Builds the prompts dynamically utilising relevant context from Pinecone vector DB.

Offers a narrative or asks follow up questions if required.

For codified responses, the task is broken down into a list of steps and a pseudo-code algorithm is built.

Based on the algorithm, it ises the python code for dataset analysis, modeling or plotting.

Debugs the code which then executes, auto-corrects if needs to, and displays the output to user.

Ranks the final answers, and asks user for feedback.

Builds a vector DB knowledge-base, based on the rank and the user feedback.