Release 0.0.9

0.0.9

Optimisations

• Set k to limit to for Marqo-os search queries (#219)
• Reduced the amount of metadata returned from Marqo-os, on searches (#218)

Non-breaking data model changes

• Set default kNN m value to 16 (#222)

Bug fixes

• Better error messages when downloading an image fails (#198)
• Bug where filtering wouldn't work on fields with spaces (#213), resolving #115

Release images can be found on Docker hub

Release 0.0.8

0.0.8

New features

• Get indexes endpoint: GET /indexes (#181). Use this endpoint to inspect existing Marqo indexes. Read about usage here.
• Non-tensor fields(#161). During the indexing phase, mark fields as non-tensor to prevent tensors being created for them. This helps speed up indexing and reduce storage for fields where keyword search is good enough. For example: email, name and categorical fields. These fields can still be used for filtering. Read about usage here.
• Configurable preloaded models(#155). Specify which machine learning models to load as Marqo starts. This prevents a delay during initial search and index commands after Marqo starts. Read about usage here.
• New example and article: use Marqo to provide context for up-to-date GPT3 news summary generation (#171, #174). Special thanks to @iain-mackie for this example.

Bug fixes and minor changes

• Updated developer guide (#164)
• Updated requirements which prevented Marqo being built as an arm64 image (#173)
• Backend updated to use marqo-os:0.0.3 (#183)
• Default request timeout has been increased from 2 to 75 seconds (#184)

Contributor shout-outs

• For work on the GPT3 news summary generation example: @iain-mackie
• For contributing the non-tensor fields feature: @jeadie
• Thank you to our users who raise issues and give us valuable feeback
• Thank you to our 1.4k+ star gazers and 50+ forkers!

Release images can be found on Docker hub

Release 0.0.7

0.0.7

Bug fixes and minor changes

• 429 (too many request errors) are propagated from Marqo-os to the user properly (#150)

0.0.6

Also included in this release

New features

• Health check endpoint: GET /health. An endpoint that can be used to inspect the status of Marqo and Marqo's backend (Marqo-os)
  (#128). Read about usage here.
• Marqo can be launched with environment variables that define limits around maximum number of fields per index, maximum document size and the maximum number of documents that can be retrieved
  (#135). Read about usage here.
• README translations:
  • Chinese 🇨🇳 (by @wanliAlex, #133)
  • Polish 🇵🇱 (by @MichalLuck, #136)
  • Ukrainian 🇺🇦 (by @dmyzlata, #138)
  • French 🇫🇷 (by @rym-oualha, #147)

Breaking API changes

• The home / json response has been updated. If you have logic that reads the endpoint root, please update it (#128).
• The Python client's add_documents() and update_documents() batch_size parameter has been replaced by server_batch_size and client_batch_size parameters
  (py-marqo#27), (py-marqo#28)

Non-breaking data model changes

• Each text field just creates a top level Marqo-os text field, without any keywords
  (#135)
• Very large fields get their tensor_facet keywords ignored, rather than Marqo-OS preventing the doc being indexed
  (#135)
• Tensor facets can no longer have _id as a filtering field
  (#135)

Bug fixes and minor changes

• FastAPI runs with better concurrency (#128)
• Get documents by IDs and lexical search and no longer returns vectors if expose_facets isn't specified
• Fixed batching bug in Python client
  (py-marqo#28)

Caveats

• If a large request to add_documents or update_documents results in a document adding fields such that the index field limit is exceeded, the entire operation will fail (without resilience). Mitigate this sending add_documents and update_documents requests with smaller batches of documents.
• For optimal indexing of large volumes of images, we recommend that the images are hosted on the same region and cloud provider as Marqo.

Contributor shout-outs

• For their translation work: @rym-oualha, @dmyzlata, @wanliAlex, @dmyzlata, @MichalLuck
• For raising issues and helping with READMEs: @kdewald, @llermaly, @namit343
• Thank you to our 900+ star gazers and 30+ forkers

The image can be found on Docker

Release 0.0.5

0.0.5

Added Open CLIP models and added features to the get document endpoint.

New features

• Added Open CLIP models (#116).
  Read about usage here
• Added the ability to get multiple documents by ID
  (#122).
  Read about usage here
• Added the ability to get document tensor facets and embeddings through the get document endpoint
  (#122).
  Read about usage here

0.0.4

Release 0.0.4

Adding the attributesToRetrieve to the search endpoint and added the update documents endpoints

Image can be found at Docker.