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Astra DB Hybrid Search

Improve vector search relevance 45% with Astra DB Hybrid Search + NVIDIA NeMo Retriever reranking microservices.

Be one of the first to try Astra DB Hybrid Search

Retrieval is the most important part of RAG for driving accuracy in production AI. Whether you're building AI-powered search, recommendation engines, or personalization for your end users, your RAG system’s ability to retrieve the right information directly impacts user experience and accuracy.

That’s why we’re excited to introduce Astra DB Hybrid Search, now enhanced with server-side reranking using the NVIDIA NeMo Retriever reranking microservices, built with NVIDIA NIM, part of NVIDIA AI Enterprise.

  • Seamlessly integrated: Use it out-of-the-box on Astra DB.
  • Significantly improved relevance: Next-gen relevance ranking improves relevance by up to 45%.

Ready to take your GenAI apps to the next level? 🚀 Astra DB Hybrid Search will be available on Langflow in April. Sign up to try it!

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