SUMMARY - Daft — ContextQMD

Guide
- Overview
- Quickstart
- Installation
- AI Functions
  - Overview
  - Prompt
  - Embed
  - Classify
  - Providers
- Modalities
  - Overview
  - Text
  - Images
  - Audio
  - Videos
  - Documents
  - JSON and Nested Data
  - Files and URLs
  - Embeddings
  - Custom Modalities
- User Defined Functions
  - Overview
  - Functions
  - Classes & Methods
  - Working with GPUs
  - Legacy UDF Migration Guide
  - Legacy UDFs
- Common Use Cases
  - Batch Inference
- Datasets
  - Common Crawl
- Data Connectors
  - Connectors
  - Custom Connectors
  - Custom Catalogs
  - AWS Glue
  - AWS S3
  - AWS S3 Tables
  - Apache Gravitino
  - Apache Hudi
  - Apache Iceberg
  - Apache Kafka
  - Azure Blob Store
  - Bigtable
  - ClickHouse
  - COS (Tencent Cloud)
  - Delta Lake
  - Files
  - Google Cloud Storage
  - Hugging Face Datasets
  - Lance
  - MCAP
  - Apache Paimon
  - Postgres
  - SQL Databases
  - Text Files
  - Turbopuffer
  - Unity Catalog (Databricks)
- Extensions
  - Overview
  - Community Extensions
  - Built on Daft
  - Authoring Guide
- Scaling Out and Deployment
  - Distributed Execution
  - Running on Kubernetes
  - Running on Ray
- Architecture
  - Architecture
- Optimization
  - Managing Memory Usage
  - Partitioning and Batching
  - Join Strategies
- Observability
  - Progress Indicators
  - Logging
  - Telemetry
- Sessions, Catalogs, and Tables
- Roadmap
- Benchmarks
- Community <sup>↗</sup>
- Release Notes <sup>↗</sup>
- Usage Telemetry
Examples
Python API
- Python API
- AI
- I/O
- DataFrame
- Datasets
- Expressions
- Functions
- User-Defined Functions
- Data Types
- Window
- Sessions
- Catalogs & Tables
- Schema
- Aggregations
- Series
- Configuration
- Miscellaneous
SQL Reference
- SQL Reference
- Statements
  - SELECT
  - DESCRIBE
  - SHOW
  - USE
- Data Types
- Identifiers
- Window Functions
Contributing
Daft Skills