Databricks

AI assistance for building and debugging data pipelines.

Enhances ai_parse_document with structured chart data extraction.

Real-time low-latency analytics over open lake storage.

Provides observability into AI traffic and usage metrics.

AI-powered debugging agent for incident investigation and triage.

AI-driven multi-agent system for retail workflow coordination.

Create Genie Agents with a single prompt using Genie One.

Domain-specific AI agents using trusted business context and data.

Enhances AI Extract for complex document extraction accuracy.

Allows natural-language questions against governed data.

Governed semantic layer providing business meaning to AI agents.

Autonomous data agent built on Unity Catalog for AI.

Enables millisecond feature computation using Spark Real-Time Mode.

Sends prompts to Databricks-hosted Foundation Model serving points.

Mines semi-structured information from long-form content.

Normalizes multilingual data into a single target language.

Performs zero-shot classification on unstructured text data.

Enhances Genie Code with company-specific ingestion patterns.

Automates pipeline modernization with AI-driven code generation.

Analytics driven by natural language for quick insights.

Extends Postgres capabilities to AI agent sandboxes using WASM.

Native column type for multimodal data in lakehouse.

Generates code and builds pipelines with AI integration.

Meta-harness providing model flexibility for AI coding tools.

Open-weight AI model available on Databricks with governance.