-
Notifications
You must be signed in to change notification settings - Fork 140
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Browse files
Browse the repository at this point in the history
Signed-off-by: Kunal Kotwani <[email protected]> (cherry picked from commit 2e30078) Co-authored-by: Kunal Kotwani <[email protected]>
- Loading branch information
1 parent
7ff769d
commit f132d06
Showing
2 changed files
with
54 additions
and
44 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,53 @@ | ||
| ## Version 2.19.0.0 Release Notes | ||
|
|
||
| Compatible with OpenSearch 2.19.0 | ||
|
|
||
| ### Features | ||
| - Add Support for Multi Values in innerHit for Nested k-NN Fields in Lucene and FAISS [#2283](https://github.com/opensearch-project/k-NN/pull/2283) | ||
| - Add binary index support for Lucene engine. [#2292](https://github.com/opensearch-project/k-NN/pull/2292) | ||
| - Add expand_nested_docs Parameter support to NMSLIB engine [#2331](https://github.com/opensearch-project/k-NN/pull/2331) | ||
| - Add a new build mode, `FAISS_OPT_LEVEL=avx512_spr`, which enables the use of advanced AVX-512 instructions introduced with Intel[R] Sapphire Rapids [#2404](https://github.com/opensearch-project/k-NN/pull/2404) | ||
| - Add cosine similarity support for faiss engine [#2376](https://github.com/opensearch-project/k-NN/pull/2376) | ||
| - Add concurrency optimizations with native memory graph loading and force eviction [#2265](https://github.com/opensearch-project/k-NN/pull/2345) | ||
| - Add derived source feature for vector fields [#2449](https://github.com/opensearch-project/k-NN/pull/2449) | ||
| ### Enhancements | ||
| - Introduced a writing layer in native engines where relies on the writing interface to process IO. [#2241](https://github.com/opensearch-project/k-NN/pull/2241) | ||
| - Allow method parameter override for training based indices [#2290](https://github.com/opensearch-project/k-NN/pull/2290) | ||
| - Optimizes lucene query execution to prevent unnecessary rewrites [#2305](https://github.com/opensearch-project/k-NN/pull/2305) | ||
| - Added more detailed error messages for KNN model training [#2378](https://github.com/opensearch-project/k-NN/pull/2378) | ||
| - Add check to directly use ANN Search when filters match all docs. [#2320](https://github.com/opensearch-project/k-NN/pull/2320) | ||
| - Use one formula to calculate cosine similarity [#2357](https://github.com/opensearch-project/k-NN/pull/2357) | ||
| - Make the build work for M series MacOS without manual code changes and local JAVA_HOME config [#2397](https://github.com/opensearch-project/k-NN/pull/2397) | ||
| - Remove DocsWithFieldSet reference from NativeEngineFieldVectorsWriter [#2408](https://github.com/opensearch-project/k-NN/pull/2408) | ||
| - Remove skip building graph check for quantization use case [#2430](https://github.com/opensearch-project/k-NN/2430) | ||
| - Removing redundant type conversions for script scoring for hamming space with binary vectors [#2351](https://github.com/opensearch-project/k-NN/pull/2351) | ||
| - Update default to 0 to always build graph as default behavior [#2452](https://github.com/opensearch-project/k-NN/pull/2452) | ||
| - Enabled concurrent graph creation for Lucene engine with index thread qty settings[#2480](https://github.com/opensearch-project/k-NN/pull/2480) | ||
| ### Bug Fixes | ||
| * Fixing the bug when a segment has no vector field present for disk based vector search [#2282](https://github.com/opensearch-project/k-NN/pull/2282) | ||
| * Fixing the bug where search fails with "fields" parameter for an index with a knn_vector field [#2314](https://github.com/opensearch-project/k-NN/pull/2314) | ||
| * Fix for NPE while merging segments after all the vector fields docs are deleted [#2365](https://github.com/opensearch-project/k-NN/pull/2365) | ||
| * Allow validation for non knn index only after 2.17.0 [#2315](https://github.com/opensearch-project/k-NN/pull/2315) | ||
| * Fixing the bug to prevent updating the index.knn setting after index creation[#2348](https://github.com/opensearch-project/k-NN/pull/2348) | ||
| * Release query vector memory after execution [#2346](https://github.com/opensearch-project/k-NN/pull/2346) | ||
| * Fix shard level rescoring disabled setting flag [#2352](https://github.com/opensearch-project/k-NN/pull/2352) | ||
| * Fix filter rewrite logic which was resulting in getting inconsistent / incorrect results for cases where filter was getting rewritten for shards [#2359](https://github.com/opensearch-project/k-NN/pull/2359) | ||
| * Fixing it to retrieve space_type from index setting when both method and top level don't have the value. [#2374](https://github.com/opensearch-project/k-NN/pull/2374) | ||
| * Fixing the bug where setting rescore as false for on_disk knn_vector query is a no-op [#2399](https://github.com/opensearch-project/k-NN/pull/2399) | ||
| * Fixing the bug to prevent index.knn setting from being modified or removed on restore snapshot [#2445](https://github.com/opensearch-project/k-NN/pull/2445) | ||
| * Fix Faiss byte vector efficient filter bug [#2448](https://github.com/opensearch-project/k-NN/pull/2448) | ||
| * Fixing bug where mapping accepts both dimension and model-id [#2410](https://github.com/opensearch-project/k-NN/pull/2410) | ||
| * Add version check for full field name validation [#2477](https://github.com/opensearch-project/k-NN/pull/2477) | ||
| ### Infrastructure | ||
| * Updated C++ version in JNI from c++11 to c++17 [#2259](https://github.com/opensearch-project/k-NN/pull/2259) | ||
| * Upgrade bytebuddy and objenesis version to match OpenSearch core and, update github ci runner for macos [#2279](https://github.com/opensearch-project/k-NN/pull/2279) | ||
| ### Documentation | ||
| ### Maintenance | ||
| * Select index settings based on cluster version[2236](https://github.com/opensearch-project/k-NN/pull/2236) | ||
| * Added periodic cache maintenance for QuantizationStateCache and NativeMemoryCache [#2308](https://github.com/opensearch-project/k-NN/pull/2308) | ||
| * Added null checks for fieldInfo in ExactSearcher to avoid NPE while running exact search for segments with no vector field [#2278](https://github.com/opensearch-project/k-NN/pull/2278) | ||
| * Added Lucene BWC tests [#2313](https://github.com/opensearch-project/k-NN/pull/2313) | ||
| * Upgrade jsonpath from 2.8.0 to 2.9.0[2325](https://github.com/opensearch-project/k-NN/pull/2325) | ||
| * Bump Faiss commit from 1f42e81 to 0cbc2a8 to accelerate hamming distance calculation using _mm512_popcnt_epi64 intrinsic and also add avx512-fp16 instructions to boost performance [#2381](https://github.com/opensearch-project/k-NN/pull/2381) | ||
| * Deprecate nmslib engine [#2427](https://github.com/opensearch-project/k-NN/pull/2427) | ||
| * Add spotless mirror repo for fixing builds [#2453](https://github.com/opensearch-project/k-NN/pull/2453) |