evadb

SELECT ChatGPT('Is this video summary related to Ukraine-Russia war', text) FROM TEXT_SUMMARY; - Joining structured data tables with OCRExtractor model output SELECT * FROM MyImages JOIN LATERAL OCRExtractor(data) AS T(a,b,c) JOIN LicensePlateCSV B ON FuzzDistance(T.a, B.label) > 50; - Vector index support for similarity search [5] CREATE INDEX reddit_sift_object_index ON reddit_object_dataset (SiftFeatureExtractor(Crop(data, bboxes))) USING HNSW SELECT name FROM reddit_object_dataset ORDER BY Similarity( SiftFeatureExtractor(Open('{path}')), SiftFeatureExtractor(data) ) LIMIT 5 - Using YOLO models to detect objects [6] CREATE UDF IF NOT EXISTS Yolo TYPE ultralytics 'model' 'yolov8m.pt'; SELECT id, Yolo(data) FROM ObjectDetectionVideos WHERE id < 20 Your feedback and suggestions have already been instrumental in shaping our roadmap and prioritizing new features! We are actively working on incorporating your ideas and addressing your concerns to enhance the functionality, performance, and user experience of EVA. Please email me (arulraj@gatech.edu) with any questions, ideas, or suggestions on EVA. [1] https://news.ycombinator.com/item?id=35764355 [2] https://github.com/georgia-tech-db/eva/releases/tag/v0.2.3 [3] https://evadb.readthedocs.io/en/stable/source/tutorials/08-c... [4] https://github.com/georgia-tech-db/eva/blob/master/tutorials... [5] https://github.com/georgia-tech-db/eva/blob/a6a6ecc7e5c0d9d4... [6] https://evadb.readthedocs.io/en/stable/source/tutorials/02-o...