georgia-tech-db/evadb

Health v2 · maintenance only

Flags: archived

Adoption not part of the score

2673 stars · 260 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

EvaDB is a Python database system for building AI-powered applications, exposing a SQL API that queries structured data, videos, and unstructured data with AI functions like object detection and LLM calls. It integrates with Hugging Face models and LLM frameworks to simplify AI app development into a few lines of code.

Use cases

• run object detection queries over videos with sql
• build ai apps that query data with llm functions
• analyze video content using a database
• add ai-powered search over unstructured data
• query huggingface models from sql
• label and analyze datasets with ai models

When to choose

• you want to combine sql queries with ai/llm functions in one system
• you need video analytics with object detection via a query interface
• you're prototyping ai apps in python with minimal code

When to avoid

• you need a production-grade general-purpose oltp database
• you only need standard sql without ai functions
• you need extremely low-latency transactional workloads

Facets

library · maturity active

database machine-learning video-processing rag llm-inference data-science databases artificial-intelligence machine-learning data-science python cross-platform ai-powered-database video-analytics sql-api llm-integration object-detection huggingface sql video

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