* fix(memory): add input_type to Voyage AI embeddings for improved retrieval
Voyage AI recommends passing input_type='document' when indexing and
input_type='query' when searching. This improves retrieval quality by
optimising the embedding space for each direction.
Changes:
- embedQuery now passes input_type: 'query'
- embedBatch now passes input_type: 'document'
- Batch API request_params includes input_type: 'document'
- Tests updated to verify input_type is passed correctly
* Changelog: note Voyage embeddings input_type fix (#10818) (thanks @mcinteerj)
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Co-authored-by: Tak Hoffman <781889+Takhoffman@users.noreply.github.com>
* feat(memory): add native Voyage AI embedding support with batching
Cherry-picked from PR #2519, resolved conflict in memory-search.ts
(hasRemote -> hasRemoteConfig rename + added voyage provider)
* fix(memory): optimize voyage batch memory usage with streaming and deduplicate code
Cherry-picked from PR #2519. Fixed lint error: changed this.runWithConcurrency
to use imported runWithConcurrency function after extraction to internal.ts
