Releases: zilliztech/knowhere
knowhere-v1.3.20
What's Changed
- Generate diskann cache asynchronously. by @cqy123456 in #191
Full Changelog: v1.3.19...v1.3.20
knowhere-v1.3.19
What's Changed
- Reverted changes to modify knowhere threads scheduling priority
Full Changelog: v1.3.18-hotfix...v1.3.19
knowhere-v2.2.2
Release Notes
What's New
-
SCANN
without refine: (#77)SCANN
now supports awith_raw_data
config option to determine whether the refine process is needed. Omitting the refine step can dramatically reduce memory usage (to approximately 1/17 of the original).
-
Multi devices for GPU: (#83 #146)
- GPU indexes can now be distributed in different cards to accelerate and the performance and enlarge the capacity.
-
Remove
IVF_FLAT_NM
: (#39):IVF_FLAT_NM
was introduced to conserve disk resources by avoiding the encoding of raw data during serialization. However, this approach posed challenges for the support of our new features and when upgrading FAISS. In this release, we've reverted the implementation of IVF_FLAT to the original FAISS version.
-
DiskANN
filtering search optimization: (#143)- We adopt a strategy that randomly determines whether to add a filtered vector to the candidate list, aiming to enhance
DiskANN
's filtering search performance with a high filtering rate.
- We adopt a strategy that randomly determines whether to add a filtered vector to the candidate list, aiming to enhance
-
Reprioritize thread pool: ( #130)
- We deprioritize
Knowhere
's threads to support better resource allocation ofMilvus
.
- We deprioritize
-
Support
GetVectorById
forIVFFLAT
Cosine (#80)
Enhancements and Fixes
- Replace
OMP
withKnowhere
's thread pool to better manage thread number. (#120) - Implement
Size()
API to estimate the memory usage forHNSW
andDiskANN
. (#124 #126) - Fix race condition in
GetVectorById
ofIVF
indexes. (#133 #134)
New Contributors
- @alexanderguzhva made their first contribution in #72
v1.3.18-hotfix
What's Changed
Full Changelog: v1.3.18...v1.3.18-hotfix
knowhere-v2.2.1
What's Changed
- Temporary solution to fix ivf_flat search result wrong when cosine by @cydrain in #36
- Fix scann add_with_ids logic by @chasingegg in #45
- Fix brute force search wrong when COSINE by @cydrain in #48
- Fix segment fault when use config load a list by @Presburger in #49
New Contributors
- @weiliu1031 made their first contribution in #32
Full Changelog: v2.2.0...v2.2.1
knowhere-v2.2.0
Release Notes
New Features
-
FastScan Integration with FAISS: (#1)
- Introducing support for
FastScan
fromFAISS
. Functionally analogous toSCANN
, FastScan utilizes a 4-bit PQ with IVF to enhance the search speed, making it ideal for high-dimensional vector searches.
- Introducing support for
-
New index type IVF_FLAT_CC: (milvus-io/knowhere#824)
- Introducing new index type IVF_FLAT_CC for growing segment searching.
-
Memory-Mapped Support: (milvus-io/knowhere#785 milvus-io/knowhere#1006 milvus-io/knowhere#1015)
mmap
is now compatible with theFAISS
series of indexes andHNSW
.
-
Extended Metric Support: (milvus-io/knowhere#812)
- We've added support for the
COSINE
metric across all float indexes.
- We've added support for the
-
Binary Data Handling: (milvus-io/knowhere#978)
HNSW
can now process binary data with metric type HAMMING or JACCARD.
-
Support prometheus metrics: (milvus-io/knowhere#756)
-
GetVectorByIds API: (milvus-io/knowhere#791 milvus-io/knowhere#802 milvus-io/knowhere#805 milvus-io/knowhere#815)
-
This new API facilitates the retrieval of vectors from indexes.
-
Users must first invoke
HasRawData
prior toGetVectorByIds
to confirm the vectors' presence. (milvus-io/knowhere#828)Support Matrix for GetVectorByIds
Indexes IP L2 COSINE FLAT Y Y Y IVF_FLAT Y Y N IVF_PQ N N N IVF_SQ N N N HNSW Y Y Y DiskANN N Y Y SCANN Y Y Y
-
Other Changes
-
Dependency Management with Conan: (milvus-io/knowhere#728)
- We've integrated
conan
to streamline our dependency management.
- We've integrated
-
Replace Easylogging++ by Glog: (milvus-io/knowhere#766)
-
Integration with Folly: (milvus-io/knowhere#788)
- We've incorporated
folly
as our preferred third-party standard library.
- We've incorporated
-
Unified RangeSearch Semantics: (milvus-io/knowhere#1016)
- The RangeSearch functions of Faiss IVF-serials have been updated to be parameter-less for indexes, providing a cohesive semantic experience.
-
Enhanced Search Capabilities: (milvus-io/knowhere#794)
- The search performance for
HNSW
has been optimized, especially for filtering.
- The search performance for
-
Thread Management Improvements: (#15)
- To counteract thread contention, build and search thread pools have been separated. Additionally, Knowhere's thread priority is automatically lowered to prevent disruptions to the primary thread.
-
Discontinued Metrics for Binary Indexes: (milvus-io/knowhere#994)
- Support for metrics such as
TANIMOTO
,SUBSTRUCTURE
, andSUPERSTRUCTURE
has been phased out for Binary indexes.
- Support for metrics such as
-
Discontinued index type ANNOY: (milvus-io/knowhere#796)
- Support for index type ANNOY has been phased out.
-
Improve code coverage: (milvus-io/knowhere#949 milvus-io/knowhere#955 milvus-io/knowhere#958 milvus-io/knowhere#959 milvus-io/knowhere#972)
knowhere-v1.3.18
What changes
- Deprioritize the thread pool to ensure the main thread's healthy.