Better model choices for your semantic search.
What it does
Guides model selection and text chunking for semantic search and retrieval-augmented applications.
When to use it
Use when choosing or comparing embedding models, improving chunking, adapting embeddings to domains, reducing dimensions, or handling multilingual content.
How to use it
It changes how the agent implements semantic search by guiding model choice, chunking, normalization, batching, and caching.
What you provide
- An existing project
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