Adds support for HYBRID_POLICY on KNN queries with filters #299
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tylerhutcherson
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Mar 24, 2025
Did the same treatment for the VectorRangeQuery - added more tests and fix the docstrings. |
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# Add support for hybrid policy and epsilon parameters in vector searches This PR adds support for configuring hybrid search policy for vector searches and epsilon for vector range queries in RedisVL, matching the capabilities available in Redis Vector Search. ## Changes ### Added features: 1. **Hybrid Policy Control for VectorQuery** - Added `hybrid_policy` parameter with options `BATCHES` or `ADHOC_BF` - Added `batch_size` parameter for controlling batch size in `BATCHES` mode - Implemented methods to get/set these parameters 2. **EPSILON Support for VectorRangeQuery** - Added `epsilon` parameter to control range query boundaries - Implemented methods to get/set this parameter - Properly adds epsilon to query attributes, not as direct parameter ### Tests: - Added unit tests for new parameters and methods - Added integration tests that verify query construction but avoid execution with unsupported parameters ## Description Redis Vector Search allows fine-tuning of vector queries through hybrid policy selection and epsilon configuration. This PR exposes these parameters in RedisVL, giving users better control over performance and accuracy trade-offs: - **Hybrid Policy**: Controls how filters are applied during vector search: - `BATCHES`: Paginates through small batches of nearest neighbors - `ADHOC_BF`: Computes scores for all vectors passing the filter - **Epsilon**: For range queries, controls boundary expansion through `radius * (1 + epsilon)`, enabling deeper search at the expense of performance --------- Co-authored-by: Tyler Hutcherson <tyler.hutcherson@redis.com>
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# Add support for hybrid policy and epsilon parameters in vector searches This PR adds support for configuring hybrid search policy for vector searches and epsilon for vector range queries in RedisVL, matching the capabilities available in Redis Vector Search. ## Changes ### Added features: 1. **Hybrid Policy Control for VectorQuery** - Added `hybrid_policy` parameter with options `BATCHES` or `ADHOC_BF` - Added `batch_size` parameter for controlling batch size in `BATCHES` mode - Implemented methods to get/set these parameters 2. **EPSILON Support for VectorRangeQuery** - Added `epsilon` parameter to control range query boundaries - Implemented methods to get/set this parameter - Properly adds epsilon to query attributes, not as direct parameter ### Tests: - Added unit tests for new parameters and methods - Added integration tests that verify query construction but avoid execution with unsupported parameters ## Description Redis Vector Search allows fine-tuning of vector queries through hybrid policy selection and epsilon configuration. This PR exposes these parameters in RedisVL, giving users better control over performance and accuracy trade-offs: - **Hybrid Policy**: Controls how filters are applied during vector search: - `BATCHES`: Paginates through small batches of nearest neighbors - `ADHOC_BF`: Computes scores for all vectors passing the filter - **Epsilon**: For range queries, controls boundary expansion through `radius * (1 + epsilon)`, enabling deeper search at the expense of performance --------- Co-authored-by: Tyler Hutcherson <tyler.hutcherson@redis.com>
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Add support for hybrid policy and epsilon parameters in vector searches
This PR adds support for configuring hybrid search policy for vector searches and epsilon for vector range queries in RedisVL, matching the capabilities available in Redis Vector Search.
Changes
Added features:
Hybrid Policy Control for VectorQuery
hybrid_policyparameter with optionsBATCHESorADHOC_BFbatch_sizeparameter for controlling batch size inBATCHESmodeEPSILON Support for VectorRangeQuery
epsilonparameter to control range query boundariesTests:
Description
Redis Vector Search allows fine-tuning of vector queries through hybrid policy selection and epsilon configuration. This PR exposes these parameters in RedisVL, giving users better control over performance and accuracy trade-offs:
Hybrid Policy: Controls how filters are applied during vector search:
BATCHES: Paginates through small batches of nearest neighborsADHOC_BF: Computes scores for all vectors passing the filterEpsilon: For range queries, controls boundary expansion through
radius * (1 + epsilon), enabling deeper search at the expense of performance