Latest Articles
Making Object Storage Operational for Real-Time and AI Workloads
Object storage and open table formats like Apache Iceberg and Delta Lake have become foundational to modern data architectures for their scalability and cost efficiency. However, they’re not built for real-time, AI-driven workloads that demand low latency and sophisticated querying. Spice extends these technologies by federating and accelerating data, enabling hybrid search and inference, and transforming object storage into a high-performance data layer for operational applications and AI agents.
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True Hybrid Search: Vector, Full-Text, and SQL in One Runtime
The success of enterprise AI projects boils down to search and retrieval. In order to deliver production-grade AI apps, developers need tools that efficiently access data, search, and retrieve data across distributed systems. Spice's hybrid SQL search combines vector, full-text, and keywod search in one query.
Basis Set Ventures Deploys Spice.ai to Power Natural Language Queries and Mitigate Hallucinations
Basis Set Ventures adopted Spice.ai Enterprise to power natural language searches directly against fresh datasets - getting accurate, data-grounded insights that help them spot opportunities earlier and act faster.
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Faster, Simpler Dashboards with Spice and Power BI
Spice AI built a Microsoft Power BI Connector on top of the Flight SQL ADBC driver that makes it easy for Power BI users to query across operational databases, analytical warehouses, and object stores.
Spice.ai Now Supports Amazon S3 Vectors For Vector Search at Petabyte Scale!
Spice AI has partnered with AWS to integrate Amazon S3 Vectors into the Spice.ai Open Source data and AI compute engine, providing a simple SQL interface to query and search vector embeddings across enterprise data sources.
The Spice.ai for GitHub Copilot Extension is now available!
With the Spice.ai Extension, developers can interact with data, like product requirements documents (PRDs), tickets, and tabular data, from any external data source directly within GitHub Copilot. Save hours copying and pasting across various platforms, relevant data and answers are now surfaced in Copilot Chat, right when you need it.
