Release 2.6.0

2.6.0

New features

• Support for custom and default prefixes (#821 and #832) in the index creation, adding documents, search, and embed endpoints.

Bug fixes and minor changes

• Improved recommender with structured indexes (#830)
• Better handling of image download errors (#829). Image download errors will now return a 200 overall and log errors per document.

Release 2.5.1

2.5.1

Bug fixes and minor changes

• More stable recommend endpoint (#825).
• Change error code when using IN filter operator on an unstructured index (#823).
• New index settings validation endpoint for Cloud use (#809).

Release 2.5.0

2.5.0

New features

• New ‘embed’ endpoint (POST /indexes/{index_name}/embed) (#803). Marqo can now perform inference and return the embeddings for a single piece or list of content, where content can be either a string or weighted dictionary of strings. See usage here.
• New ‘recommend’ endpoint (POST /indexes/{index_name}/recommend) (#816). Given a list of existing document IDs, Marqo can now recommend similar documents by performing a search on interpolated vectors from the documents. See usage here.
• Add Inference Cache to speed up frequent search and embed requests (#802). Marqo now caches embeddings generated during inference. The cache size and type can be configured with MARQO_INFERENCE_CACHE_SIZE and MARQO_INFERENCE_CACHE_TYPE. See configuration instructions here.
• Add configurable search timeout (#813). Backend timeout now defaults to 1s, but can be configured with the environment variable VESPA_SEARCH_TIMEOUT_MS. See configuration instructions here.
• More informative get_cuda_info response (#811). New keys: utilization memory_used_percent have been added for easier tracking of cuda device status. See here for more information.

Bug fixes and minor changes

• Upgraded open_clip_torch, timm, and safetensors for access to new models (#810)

Contributor shout-outs

• Shoutout to all our 4.1k stargazers! Thanks for continuing to use our product and helping Marqo grow.
• Keep on sharing your questions and feedback on our forum and Slack channel! If you have any more inquiries or thoughts, please don’t hesitate to reach out.

Release 2.4.3

2.4.3

Bug fixes and minor changes

• Fix incorrect Marqo version number (#805). Version number updated from 2.4.1 to 2.4.3

2.4.2

Bug fixes and minor changes

• Better response for truncated images in add_documents (#797). Truncated images no longer cause a 500 error. The individual document will fail and return a 400 error in add docs response (full response will be a 200).

2.4.1

Bug fixes and minor changes

• Improve telemetry memory management (#800).

Release 2.2.2

2.2.2

Bug fixes and minor changes

• Improve telemetry memory management (#804).

Release 2.4.0

2.4.0

New features

• Add IN operator to the query filter string DSL (#790, #793, & #795).
  For structured indexes, you can now use the IN keyword to restrict text and integer fields to be within a list of values. See usage here.

• Add no_model option for index creation (#789). This allows for indexes that do no vectorisation,
  providing easy use of custom vectors with no risk of accidentally mixing them up with Marqo-generated vectors. See usage here.

• Optional q parameter for the search endpoint if context vectors are provided. (#789).
  This is particularly useful when using context vectors to search across your documents that have custom vector fields. See usage here.

Bug fixes and minor changes

• Improve error message for defining tensorFields when adding documents to a structured index (#788).

Contributor shout-outs

• A huge thank you to all our 4.1k stargazers! We appreciate all of you continuing to use our product and helping Marqo grow.
• Thanks for sharing your questions and feedback on our forum and
  Slack channel!
  If you have any more inquiries or thoughts, please don’t hesitate to reach out.

Release 2.3.0

2.3.0

New features

• New update_documents API (#773). Structured indexes now support high throughput partial updates to non-tensor fields. Unstructured indexes do not support partial updates. See usages here
• The custom vectors feature is now supported again for both structured and unstructured indexes (#777). You can now add externally generated vectors to Marqo documents. See usages here

Bug fixes and minor changes

• Fix an issue where non-default distance metrics are not configured correctly with unstructured indexes (#772).
• Introduce a guide for running Marqo open source in production environments, offering insights and best practices (#775).
• Remove outdated examples from the README to improve clarity and relevance (#766).

Contributor shout-outs

• A huge thank you to all our 4k stargazers! This is a new milestone for Marqo!
• Stay connected and share your thoughts on our forum and Slack channel! Your insights, questions, and feedback are always welcome and highly appreciated.

Release 2.2.1

2.2.1

Bug fixes and minor changes

• Fix response code for vector store timeout, change it from 429 to 504 (#763)

Release 2.2.0

2.2.0

New features

• Support filtering on document ID with structured indexes. This was already supported with unstructured indexes (#749)
• New structured index data types: long, double, array<long> and array<double> for a higher precision and range of values Available for indexes created with Marqo 2.2+ (#722)
• Higher precision numeric fields for unstructured indexes. Unstructured indexes created with Marqo 2.2+ will use double precision floats and longs for a higher precision and wider range of values (#722)
• Numeric value range validation. Values that are out of range for the field type will now receive a 400 validation error when adding documents. (#722)

Bug fixes and minor changes

• Fix unstructured index bug where filtering for boolean-like strings (e.g., "true") would not work as expected (#709)
• Better handling of vector store timeouts. Marqo will now return a 429 (throttled) error message when the backend vector store is receiving more traffic than it can handle(#758)
• Improved error logging. Stack trace will now always be logged (#745)
• Better API 500 error message. Marqo will no longer return verbose error messages in the API response (#751)
• Default index model is now hf/e5-base-v2 (#710)
• Improve error messages (#746, #747)
• Improve error handling at startup when vector store is not ready. Marqo will now start and wait for vector store to become available (#752)

Contributor shout-outs

• A huge thank you to all our 3.9k stargazers!
• Thank you @Dmitri for helping us identify the issue with running Marqo on older AMD64 processors!

Release 2.1.0

2.1.0

New features

• Search result maximum limit and offset greatly increased. Maximum limit parameter increased from 400 to 1,000, offset increased from 1,000 to 10,000. Maximum value for MARQO_MAX_RETRIEVABLE_DOCS configuration is now 10,000 (#735​​, #737​​). See search limit and offset usage here

Bug fixes and minor changes

• Improved the Marqo bootstrapping process to address unexpected API behaviour when no index has been created yet (#730).
• Improved validation for create_index settings (#717, #734). Using dependent_fields as a request body parameter will now raise a 400 validation error.
• Improved data parsing for documents in unstructured indexes (#732).
• Made vector store layer config upgrades and rollbacks easier (#735​​, #736​​).
• Readme improvements (#729).

2.0.1

Also included in this release

Bug fixes and minor changes

• Improved stability of use_existing_tensors feature in add_documents (#725).
• Improved readability of Marqo start-up logs (#719).
• Removed obsolete examples (#721, #723).