calpoly-csai / calpoly-csai/MealPrepAI

[ISSUE-024] Vector Database Setup

Open
#24 0 comments 0 reactions 0 assignees View on GitHub
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

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.