# packages

pkgId: 53925f242a3e2dca3eed5ce73e5cde5b2b9b0d42d5f5b7439054d48c66705744
name: valkey
arch: aarch64
version: 9.1.0~rc1
epoch: 0
release: 1.module_valkey.9.1.fc43.remi
summary: A persistent key-value database
url: https://valkey.io
rpm_license: BSD-3-Clause AND BSD-2-Clause AND MIT AND BSL-1.0
rpm_vendor: Remi's RPM repository <https://rpms.remirepo.net/> #StandWithUkraine
rpm_group: Unspecified
rpm_buildhost: builder2.remirepo.net
rpm_sourcerpm: valkey-9.1.0~rc1-1.module_valkey.9.1.fc43.remi.src.rpm
rpm_packager: Remi Collet
location_href: valkey-9.1.0~rc1-1.module_valkey.9.1.fc43.remi.aarch64.rpm
checksum_type: sha256
description:
  Valkey is an advanced key-value store. It is often referred to as a data
  structure server since keys can contain strings, hashes, lists, sets and
  sorted sets.

  You can run atomic operations on these types, like appending to a string;
  incrementing the value in a hash; pushing to a list; computing set
  intersection, union and difference; or getting the member with highest
  ranking in a sorted set.

  In order to achieve its outstanding performance, Valkey works with an
  in-memory dataset. Depending on your use case, you can persist it either
  by dumping the dataset to disk every once in a while, or by appending
  each command to a log.

  Valkey also supports trivial-to-setup master-slave replication, with very
  fast non-blocking first synchronization, auto-reconnection on net split
  and so forth.

  Other features include Transactions, Pub/Sub, Lua scripting, Keys with a
  limited time-to-live, and configuration settings to make Valkey behave like
  a cache.

  You can use Valkey from most programming languages also.

  See https://valkey.io/topics/


pkgId: 36a131b889fba079feeb67e0342e40aeb49ac10b056f6027459bad9d271aa712
name: valkey-bloom
arch: aarch64
version: 1.0.1
epoch: 0
release: 2.module_valkey.9.1.fc43.remi
summary: Probabilistic data structures
url: https://github.com/valkey-io/valkey-bloom
rpm_license: BSD-3-Clause AND BSD-2-CLAUSE AND Apache-2.0 AND MIT AND ISC
rpm_vendor: Remi's RPM repository <https://rpms.remirepo.net/> #StandWithUkraine
rpm_group: Unspecified
rpm_buildhost: builder2.remirepo.net
rpm_sourcerpm: valkey-bloom-1.0.1-2.module_valkey.9.1.fc43.remi.src.rpm
rpm_packager: Remi Collet
location_href: valkey-bloom-1.0.1-2.module_valkey.9.1.fc43.remi.aarch64.rpm
checksum_type: sha256
description:
  Valkey-Bloom (BSD-3-Clause) is a Rust based Valkey-Module which brings a Bloom
  Filter (Module) data type into Valkey and supports versions >= 8.0.

  With this, users can create bloom filters (space efficient probabilistic
  data structures) to add elements, check whether elements exists, auto scale
  their filters, customize bloom filter properties, perform RDB Save and load
  operations, etc.


pkgId: 2450478d633f1f396d6673a181946d53d17a63af03eb79560bb4e6ac254a9c5b
name: valkey-json
arch: aarch64
version: 1.0.2
epoch: 0
release: 2.module_valkey.9.1.fc43.remi
summary: JSON as native data type
url: https://github.com/valkey-io/valkey-json
rpm_license: BSD-3-Clause AND MIT
rpm_vendor: Remi's RPM repository <https://rpms.remirepo.net/> #StandWithUkraine
rpm_group: Unspecified
rpm_buildhost: builder2.remirepo.net
rpm_sourcerpm: valkey-json-1.0.2-2.module_valkey.9.1.fc43.remi.src.rpm
rpm_packager: Remi Collet
location_href: valkey-json-1.0.2-2.module_valkey.9.1.fc43.remi.aarch64.rpm
checksum_type: sha256
description:
  Valkey-json is a Valkey module written in C++ that provides native JSON
  (JavaScript Object Notation) support for Valkey.

  The implementation complies with RFC7159 and ECMA-404 JSON data interchange
  standards. Users can natively store, query, and modify JSON data structures
  using the JSONPath query language. The query expressions support advanced
  capabilities including wildcard selections, filter expressions, array slices,
  union operations, and recursive searches.

  Valkey-json leverages RapidJSON, a high-performance JSON parser and generator
  for C++, chosen for its small footprint and exceptional performance and memory
  efficiency. As a header-only library with no external dependencies, RapidJSON
  provides robust Unicode support while maintaining a compact memory profile of
  just 16 bytes per JSON value on most 32/64-bit machines.

  See https://rapidjson.org/


pkgId: 7a18feafeeec144960cbb9da3e9a5027084478f4cc987caacccdb9b14df68c9f
name: valkey-ldap
arch: aarch64
version: 1.0.0
epoch: 0
release: 1.module_valkey.9.1.fc43.remi
summary: Probabilistic data structures
url: https://github.com/valkey-io/valkey-ldap
rpm_license: BSD-3-Clause AND BSD-2-CLAUSE AND Apache-2.0 AND MIT AND Zlib AND Unicode-3.0
rpm_vendor: Remi's RPM repository <https://rpms.remirepo.net/> #StandWithUkraine
rpm_group: Unspecified
rpm_buildhost: builder2.remirepo.net
rpm_sourcerpm: valkey-ldap-1.0.0-1.module_valkey.9.1.fc43.remi.src.rpm
rpm_packager: Remi Collet
location_href: valkey-ldap-1.0.0-1.module_valkey.9.1.fc43.remi.aarch64.rpm
checksum_type: sha256
description:
  The valkey-ldap module is a Rust based Valkey module that adds the support
  for handling user authentication against LDAP based identity providers.

  The module works by registering and authentication handler that intercepts
  the valkey AUTH command, which validates the the username and password,
  specified in the AUTH command, using an LDAP server. Therefore the user must
  already exist in Valkey before LDAP can be used for authentication.


pkgId: 6a9ca36a9e646f42254b3c82d56eb22f3e1f94528c5c7bf06d4e0f8d12e51dc6
name: valkey-search
arch: aarch64
version: 1.1
epoch: 0
release: 1.module_valkey.9.1.fc43.remi
summary: Vector Similarity Search engine
url: https://github.com/valkey-io/valkey-search
rpm_license: BSD-3-Clause AND MIT
rpm_vendor: Remi's RPM repository <https://rpms.remirepo.net/> #StandWithUkraine
rpm_group: Unspecified
rpm_buildhost: builder2.remirepo.net
rpm_sourcerpm: valkey-search-1.1-1.module_valkey.9.1.fc43.remi.src.rpm
rpm_packager: Remi Collet
location_href: valkey-search-1.1-1.module_valkey.9.1.fc43.remi.aarch64.rpm
checksum_type: sha256
description:
  valkey-search (BSD-3-Clause), provided as a Valkey module,
  is a high-performance Vector Similarity Search engine optimized
  for AI-driven workloads. It delivers single-digit millisecond
  latency and high QPS, capable of handling billions of vectors
  with over 99% recall.

  valkey-search allows users to create indexes and perform similarity
  searches, incorporating complex filters. It supports Approximate Nearest
  Neighbor (ANN) search with HNSW and exact matching using K-Nearest Neighbors
  (KNN). Users can index data using either Valkey Hash or Valkey-JSON data types.

  While valkey-search currently focuses on Vector Search, its goal is to extend
  Valkey into a full-fledged search engine, supporting Full Text Search and
  additional indexing options.


