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  1. Home
  2. /Repositories
  3. /spiceai/spiceai
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repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 23d ago

spiceai/spiceai

Add a real-time analytics node to your operational database. Spice is a portable, accelerated SQL query, search, and LLM-inference engine in Rust for data-grounded AI apps and agents.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 52%Designing Reward Signals for Portable Query Generation: A Case Study in Industrial Semantic Job Search →
  • PossiblePossibly related (embedding) · 52%OpenAI and Broadcom unveil LLM-optimized inference chip →
  • PossiblePossibly related (embedding) · 49%ScarfBench: Benchmarking AI Agents for Enterprise Java Framework Migration →
  • PossiblePossibly related (embedding) · 47%OpenAI reveals its first AI processor: Jalapeño →
  • PossiblePossibly related (embedding) · 46%Introducing GeneBench-Pro →
  • PossiblePossibly related (embedding) · 66%Spider 2.0-AIFunc: Extending Real-World Text-to-SQL to AI-Native SQL Workflows →
  • PossiblePossibly related (embedding) · 51%ExplAIner: A Declarative Query Language for Explaining Classification Models →
  • PossiblePossibly related (embedding) · 49%Data Analysis in the Wild: Benchmarking Large Language Models Against Real-World Data Complexities →

Implements

paperDesigning Reward Signals for Portable Query Generation: A Case Study in Industrial Semantic Job Search

Covers

newsOpenAI and Broadcom unveil LLM-optimized inference chipnewsScarfBench: Benchmarking AI Agents for Enterprise Java Framework MigrationnewsOpenAI reveals its first AI processor: JalapeñonewsIntroducing GeneBench-Pro

Implements (incoming)

paperSpider 2.0-AIFunc: Extending Real-World Text-to-SQL to AI-Native SQL WorkflowspaperExplAIner: A Declarative Query Language for Explaining Classification ModelspaperData Analysis in the Wild: Benchmarking Large Language Models Against Real-World Data Complexities

Related across the graph

paperExplAIner: A Declarative Query Language for Explaining Classification ModelsnewsOpenAI and Broadcom unveil LLM-optimized inference chippaperSpider 2.0-AIFunc: Extending Real-World Text-to-SQL to AI-Native SQL WorkflowsnewsScarfBench: Benchmarking AI Agents for Enterprise Java Framework MigrationnewsOpenAI reveals its first AI processor: JalapeñopaperData Analysis in the Wild: Benchmarking Large Language Models Against Real-World Data ComplexitiespaperDesigning Reward Signals for Portable Query Generation: A Case Study in Industrial Semantic Job SearchnewsIntroducing GeneBench-Pro
Knowledge path·PExplAIner: A Declarative Query Language for Explaining Classification Models→NOpenAI and Broadcom unveil LLM-optimized inference chip→PSpider 2.0-AIFunc: Extending Real-World Text-to-SQL to AI-Native SQL Workflows→Rspiceai/spiceai

Topics

artificial-intelligencedatadata-federationdevelopersfull-text-searchinfrastructurellm-inferencemachine-learningsql

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score3048