Announcing Native BM25 Ranking in AlloyDB and Cloud SQL
Story summary
Vector search is a critical component of generative AI, retrieval-augmented generation (RAG), and data agent architectures, but sometimes vector search alone isn't enough. While vector embeddings are incredible at understanding conceptual meaning, they stumble on specific alphanumeric IDs and exact
📌 Key Highlights & Takeaways
- Vector search is a critical component of generative AI, retrieval-augmented generation (RAG), and data agent architectures, but sometimes vector search alone isn't enough.
- While vector embeddings are incredible at understanding conceptual meaning, they stumble on specific alphanumeric IDs and exact
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Source: Cloud Blog.
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