Embeddings & Indexing
Techniques for generating embeddings and building efficient indexes.
Key Concepts
Section titled “Key Concepts”- Embedding models
- Vector similarity
- Indexing strategies
To Explore
Section titled “To Explore”- Fine-tuning embeddings for specific domains
- Approximate nearest neighbor search
- Scaling to millions of documents