Bump Azure.Search.Documents from 11.5.1 to 11.6.0

[dependabot]

Bumps Azure.Search.Documents from 11.5.1 to 11.6.0.

Release notes

Sourced from Azure.Search.Documents's releases.

Azure.Search.Documents_11.6.0

11.6.0 (2024-07-17)

Features Added

• Added support for 2024-07-01 service version.
• SemanticSearchOptions now supports SemanticQuery, which allows for specifying a semantic query that is only used for semantic reranking.
• VectorQuery now supports Oversampling and Weight, which allows for specifying richer configurations on how vector queries affect search results.
• Added support for VectorizableTextQuery, which allows for passing a text-based query that is vectorized service-side by VectorSearchVectorizers configured on the index so that vectorization doesn't need to happen before querying.
• Added support for "bring your own endpoint" with VectorSearchVectorizer, with implementations AzureOpenAIVectorizer and WebApiVectorizer. This enables the service to use a user-provided configuration for vectorizing text, rather than requiring all client-side calls to vectorize before querying, allowing for easier standardization of vectorization.
• Added support for compression with VectorSearchCompression, with implementations BinaryQuantizationCompression and ScalarQuantizationCompression. This allows for reducing the size of vectors in the index, which can reduce storage costs and improve querying performance.
• Added support for VectorEncodingFormat, which allows for specifying the encoding format of the vector data.
• Added support for AzureOpenAIEmbeddingSkill, which is a skill that uses the Azure OpenAI service to create text embeddings during indexing.
• Added support for index projections with SearchIndexerIndexProjection, which allows for specifying how indexed documents are projected in the index (or indexes).
• Added support for "narrow" types in SearchFieldDataType. This allows for specifying smaller types for vector fields to reduce storage costs and improve querying performance.
• Added support for SearchIndexerDataIdentity, which allows for specifying the identity for the data source for the indexer.
• SearchField and SearchableField now support IsStored and VectorEncodingFormat configurations. IsStored allows for specifying behaviors on how the index will retain vector data (enabling the ability to reduce storage costs), and VectorEncodingFormat allows for specifying the encoding format of the vector data.
• OcrSkill now supports LineEnding, which allows for specifying the line ending character used by the OCR skill.
• SplitSkill now supports MaximumPagesToTake and PageOverlapLength, which allows for specifying how the split skill behaves when splitting documents into pages.
• SearchServiceLimits now supports MaxStoragePerIndexInBytes, which shows the maximum storage allowed per index.

Breaking Changes

• All service concepts that have been in preview but not included in the 2024-07-01 GA have been removed. This includes concepts such as index aliases, normalizers, Azure Machine Learning skills, hybrid search, and more.

Commits

• 65da6f2 [Search] GA Features for API Version 2024-07-01 (#44485)
• 8571d3c Increment package version after release of Azure.Messaging.EventGrid (#45056)
• 0ac2d02 Update Changelog and readme files to include --prerelease (#45047)
• b0ca6d6 Increment version for storage releases (#45054)
• 374ca1c [Storage] [Webjobs Extension] Updated changelog to prepare for WebJobs Storag...
• 8f514a8 Increment version for storage releases (#45045)
• 4e073bb Increment package version after release of Azure.Monitor.OpenTelemetry.AspNet...
• 3c581b3 Changed DataMovement Blobs and File Shares to use package dependency, Added F...
• 2a9cffa [AzureMonitorDistro] prep distro 1.3.0-beta.1 (#44991)
• 3dcd049 Updated Changelog for DataMovement July Release (#45040)
• Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot merge will merge this PR after your CI passes on it
• @dependabot squash and merge will squash and merge this PR after your CI passes on it
• @dependabot cancel merge will cancel a previously requested merge and block automerging
• @dependabot reopen will reopen this PR if it is closed
• @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
• @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
• @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)