GH Repository · georgia-tech-db
evadb
Database system for AI-powered apps
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Pythonhacktoberfestagentgpt-4pythonllmevaauto-gptagent-frameworkdatabasedata-analysisgpt4allailabelingobject-detectionvideo-analyticsservingchatgpthuggingfacelangchain
EvaDB is a database system for building AI-powered applications, developed by Georgia Tech's DB group. Based on its topics, it combines database querying with video analytics, labeling, object detection, and LLM integrations such as ChatGPT, LangChain, GPT-4, and Hugging Face models.
It lets you query and analyze data—especially video—with AI models and LLMs through a database interface rather than gluing separate tools together.
Use it to
- Run AI-powered queries over video data
- Perform object detection and labeling through SQL-like access
- Integrate LLMs like GPT-4 or LangChain into data analysis pipelines
- Build agentic applications backed by a database
For Developers building AI-powered data and video analytics apps
- Role
- agent-framework
- Language
- Python
- Licence
- Apache-2.0
- Forks
- 258
- Open issues
- 78
- Last push
- 2024-05-17
- Latest release
- v0.0.3 · 2022-07-31
topicsdatabasevideo-analyticsllmagent-frameworkobject-detectiondata-analysis