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Add Scalable Vector Search (SVS) library integration support #5640

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rfsaliev
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This PR reflects changes in Vector Similarity to support Scalable Vector Search (SVS) library integration introduced in the PR: RedisAI/VectorSimilarity#598.

Note

RediSearch have to be compiled with architecture-specific optimization options to achieve performance in SVS. For example:

$ make build FORCE=1 CC_FLAGS.opt="-march=native -mtune=native"

Changes include

  • Add 'SVS' algorithm aupport to the 'FT.CREATE' parser
  • Parse and expose SVS specific index parameters.
  • Add functionality for showing SVS algorithm parameters in redis-client 'FT.INFO'

Mark if applicable

  • This PR introduces API changes
  • This PR introduces serialization changes

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CLAassistant commented Feb 12, 2025

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1 out of 2 committers have signed the CLA.

✅ markovamaria
❌ rfsaliev
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* Add SVS Algo to parser
* Expose parameters for index creation:
  * Add SVS specific parameters.
* Add functionality for showing SVS algorithm parameters in redis-client ft.info

Co-authored-by: Maria Markova <maria.markova@intel.com>
@rfsaliev rfsaliev force-pushed the scalable-vector-search branch from 7f38cce to ec15b16 Compare February 14, 2025 16:51
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This pull request is stale because it has been open for 60 days with no activity.

@github-actions github-actions bot added the stale label Apr 16, 2025
@github-actions github-actions bot removed the stale label Apr 18, 2025
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Closing due to #6329

@rfsaliev rfsaliev closed this Jun 25, 2025
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3 participants