Embedding Service
Vector embeddings for parts search and RAG pipelines
RAG Embedding Service
Generates and serves vector embeddings for parts data, enabling semantic search and RAG.
Repository
Overview
- Generates CLIP embeddings for parts images
- Text embeddings for parts descriptions
- Serves embeddings via FastAPI
- Stores vectors in Weaviate
Stack
- Python, FastAPI
- CLIP model for multimodal embeddings
- Weaviate for vector storage