v3.9.39 🌈

🧭 What's Changed

• Labelbox integration refactor (#3029) @tyesayan
• Updated versions for 3.9.39 release (#3024) @activesoull
• added azure storage provider retry on authentication failure to fetch creds (#3027) @activesoull
• typing fix and test fixes (#3028) @activesoull
• Labelbox reuse project json (#3025) @tyesayan

⚙️ Who Contributes

@activesoull, @davidbuniat and @tyesayan

v3.9.38 🌈

🧭 What's Changed

• Updated versions for 3.9.38 release (#3018) @activesoull
• fixed max_view (#3023) @activesoull

⚙️ Who Contributes

@activesoull

v4.1.5 🌈

🧭 What's Changed

• Support biomedical data types - dicom and nifti
• Support point data type
• Ability to run index search on virtual columns
• 2x speedup in inverted index generation

v3.9.37 🌈

🧭 What's Changed

• Updated versions for 3.9.37 release (#3016) @activesoull
• update client after the creds exchange (#3014) @activesoull

⚙️ Who Contributes

@activesoull

v3.9.36🌈

🧭 What's Changed

• Updated versions for 3.9.36 release (#3013) @activesoull
• update client after the creds exchange (#3014) @activesoull

⚙️ Who Contributes

@activesoull and @khustup2

v4.1.4🌈

Fixed Bugs

• Precondition query downloads additional columns data.
• Fixed credentials update after expiration
• Fix the speed and memory usage of clustered index for large result sets (10k).
• Fashionpedia convert to v4 errors out because of list htype
• Fixed MAXSIM in ascending order query

Added features

• Support Point type
• Added from_coco to automate coco-like datasets ingestion
• Partially indexed columns support in query
• Better error handling in embedding ingestion
• Add python api for disabling/enabling index creation

v3.9.35 🌈

🧭 What's Changed

• Updated versions for 3.9.35 release (#3008) @activesoull
• fixed storage provider error when the local_cache is specified (#3012) @activesoull

⚙️ Who Contributes

@activesoull

v4.1.3 🌈

• Fixed MAXSIM search for different shape embeddings

v4.1.2 🌈

• 100x search time improvement with MAXSIM for ColPali using pooling
• Fixed deadlock issues with multiprocessing
• Improved core engine stability and performance

v4.1 adds the following major features

• Ability to add linked rows for images, segment masks and binary masks
• Ability to save query views through tagging
• Integration with MMDetection and MMSegmentation
• Autocommit the data at the session exit
• Ability to create dynamic arrays
• Ability to create structures with known schema

v4.1.1 🌈

• Bug fixes in deeplake.convert and performance improvements in data ingestion.
• Fixed TQL UNION expression for the same source.
• Better support for multiprocessing.

v4.1 adds the following major features

• Ability to add linked rows for images, segment masks and binary masks
• Ability to save query views through tagging
• Integration with MMDetection and MMSegmentation
• Autocommit the data at the session exit
• Ability to create dynamic arrays
• Ability to create structures with known schema