calpoly-csai / calpoly-csai/MealPrepAI
[ISSUE-024] Vector Database Setup
Open
phase-5
- Dominant language
- TypeScript
- Stars
- 1
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Description
## Phase 5: AI Infrastructure & Meal Planning (Weeks 7-9)
### Description
Set up MongoDB Vector Search or Pinecone
Create recipe embedding generation
Implement similarity search functionality
Index existing recipes
### Dependencies
- #013
- #023
### Can Work in Parallel With
- #023
- #025
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reviewing dependencies #013 and #023, then resolve whether the project will use MongoDB Vector Search or Pinecone. The work is done when recipe embeddings are generated, existing recipes are indexed, and similarity search is implemented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- mongodb, typescript
- Domain
- databases, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100