Announcing MCP Toolbox Java SDK v1.0: Agentic data access for the enterprise
cloud.google.com·6d ago
Cloud & Infrastructure
The New Stack·12d ago·5 min read
Cohere’s faster query model barely dents retrieval quality in its tests
TL;DR
Cohere has launched Embed 5, allowing teams to use a faster, cheaper query model, Embed 5 Fast, with minimal impact on retrieval quality. Testing shows that using Fast for queries against a Pro index maintains a high retrieval score of 98.4.
✦ Why It Matters
Consider adopting Embed 5 Pro for indexing and Embed 5 Fast for querying to optimize performance.
Key Takeaways
- Use Embed 5 Pro for indexing and Fast for querying to optimize performance.
- Benchmark Pro-to-Fast against Pro-to-Pro on your own datasets.
- Consider 1,024-dimensional int8 vectors for efficient storage and accuracy.
- Leverage Embed 5's support for text and image inputs in your applications.
How It Works
Embed 5 Pro and Fast share the same embedding space, allowing seamless switching between the two models without re-embedding. This architecture is particularly beneficial for retrieval-augmented generation (RAG) systems, where query speed is critical.