flexvec: SQL Vector Retrieval with Programmatic Embedding Modulation
📰 ArXiv cs.AI
flexvec introduces Programmatic Embedding Modulation for SQL vector retrieval, enabling arithmetic operations on embeddings and scores at query time
Action Steps
- Understand the concept of Programmatic Embedding Modulation (PEM) and its application in vector retrieval
- Implement flexvec's retrieval kernel to expose the embedding matrix and score array as a programmable surface
- Apply arithmetic operations on embeddings and scores at query time to achieve more accurate results
- Integrate flexvec with existing AI systems and retrieval APIs to enhance their capabilities
Who Needs to Know This
AI engineers and researchers working on retrieval APIs and vector databases can benefit from flexvec's programmable surface for more flexible and efficient querying, while data scientists can leverage this technology to improve their models' performance
Key Insight
💡 Programmatic Embedding Modulation enables more flexible and efficient vector retrieval by allowing arithmetic operations on embeddings and scores at query time
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Key Takeaways
flexvec introduces Programmatic Embedding Modulation for SQL vector retrieval, enabling arithmetic operations on embeddings and scores at query time
Full Article
Title: flexvec: SQL Vector Retrieval with Programmatic Embedding Modulation
Abstract:
arXiv:2603.22587v1 Announce Type: cross Abstract: As AI agents become the primary consumers of retrieval APIs, there is an opportunity to expose more of the retrieval pipeline to the caller. flexvec is a retrieval kernel that exposes the embedding matrix and score array as a programmable surface, allowing arithmetic operations on both before selection. We refer to composing operations on this surface at query time as Programmatic Embedding Modulation (PEM). This paper describes a set of such ope
Abstract:
arXiv:2603.22587v1 Announce Type: cross Abstract: As AI agents become the primary consumers of retrieval APIs, there is an opportunity to expose more of the retrieval pipeline to the caller. flexvec is a retrieval kernel that exposes the embedding matrix and score array as a programmable surface, allowing arithmetic operations on both before selection. We refer to composing operations on this surface at query time as Programmatic Embedding Modulation (PEM). This paper describes a set of such ope
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