Part 9/12:
The process was iterative, with the developer noting challenges like handling IDs and metadata filtering. For instance, because Pine Cone's API primarily returns IDs and similarity scores, additional steps are necessary to fetch full message data from local storage based on IDs.
The developer admits that the current prototype is a work in progress—full of TODOs, refactoring needs, and bug fixes. However, the system already demonstrates significant capabilities:
Long memory spans (potentially millions of messages)
Semantic relevance in retrieving past data
Dynamic reconstruction of conversational context
The codebase includes a load_json() function, metadata management, and retrieval logic to seamlessly connect stored data with live conversation flow.