Refactor #6

Refactor #5

Refactor #4

Enable `SlackService` to update look-up table for new user identifiers as encountered in incoming messages

Refactor #3

Add `VECTORIZED_CHUNKS_SEARCH_INDEX_NAME` environment variable

Put inquirer name in question context

Convert more service methods to async; drop `VectorDatabaseService` intermediary and use the repository classes directly

Handle unmappable Slack user identifiers

Yap reduction via prompt tweak

Resolve user identifiers to display or real names for incoming Slack messages

Do not ingest Slack messages

Repository pattern refactor W.I.P.

Enable recursive Google Drive directory listing

Add Google Drive-to-MongoDB WebVTT vectorization pipeline notebook

Update `GoogleDriveService` and add example usage notebook

Add incomplete `ApplicationDatabaseService`

Simplify models

Clean up and restore ability to shut down gracefully

Merge branch 'refactor-2' into refactor-3

W.I.P: mongo vector index formatting

`GoogleDriveService`

W.I.P: fixing vector index format and search pipeline

Merge branch 'alt' into refactor-2

Move more components into dependency injection container

minor fixes to API config

Re-enable language model for answering questions; remove mock answer

WebVTT models and changes to support it

Bug fixes

revised mongo_db index creation, storing, and similarity search using the new Chunk model

redone context retrieval

Remove stray imports; add missing dependency `aiohttp`

Switch to `async` architecture

W.I.P.

added basic content_exists method implementation

refactored mongo init, context and vectordb services to be synchronous

adding google drive service readme

adding google drive access servicee and how to use

Make all code participate in dependency injection

added vectorDB and context retrieval services, vectorquery model and MongoDB initialization

adding answering service and config parapms, and content model

completed VectorizationService to get embeddings

adding Vectorization service

Provisional project structure