# packages

pkgId: 5c5e4c49c92131b35228ef50959babb6d51a385641d78eb4e8a07105062ee18b
name: valkey
arch: x86_64
version: 8.1.4
epoch: 0
release: 3.module_valkey.8.1.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: builder.remirepo.net
rpm_sourcerpm: valkey-8.1.4-3.module_valkey.8.1.fc43.remi.src.rpm
rpm_packager: Remi Collet
location_href: valkey-8.1.4-3.module_valkey.8.1.fc43.remi.x86_64.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: a90eb0ca6a8586c47bbd27454e071af0a07b60ae09117595de78a843247a5c39
name: valkey-bloom
arch: x86_64
version: 1.0.0
epoch: 0
release: 1.module_valkey.8.1.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
rpm_vendor: Remi's RPM repository <https://rpms.remirepo.net/> #StandWithUkraine
rpm_group: Unspecified
rpm_buildhost: builder.remirepo.net
rpm_sourcerpm: valkey-bloom-1.0.0-1.module_valkey.8.1.fc43.remi.src.rpm
rpm_packager: Remi Collet
location_href: valkey-bloom-1.0.0-1.module_valkey.8.1.fc43.remi.x86_64.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: 0c16c4498d9732bc6441b31dafdb202110d2e12c9677b934f311378c9ee5eb9a
name: valkey-json
arch: x86_64
version: 1.0.1
epoch: 0
release: 1.module_valkey.8.1.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: builder.remirepo.net
rpm_sourcerpm: valkey-json-1.0.1-1.module_valkey.8.1.fc43.remi.src.rpm
rpm_packager: Remi Collet
location_href: valkey-json-1.0.1-1.module_valkey.8.1.fc43.remi.x86_64.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: ef993f52c349d91cf6a3485be46702025a50b74c741a1c79f095cf9520c5396c
name: valkey-ldap
arch: x86_64
version: 1.0.0
epoch: 0
release: 1.module_valkey.8.1.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: builder.remirepo.net
rpm_sourcerpm: valkey-ldap-1.0.0-1.module_valkey.8.1.fc43.remi.src.rpm
rpm_packager: Remi Collet
location_href: valkey-ldap-1.0.0-1.module_valkey.8.1.fc43.remi.x86_64.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: 5b8626525fdbaac28bb4ec884316008d81e9c6c911f7cccd0973b9ea38f83c42
name: valkey-search
arch: x86_64
version: 1.0.1
epoch: 0
release: 1.module_valkey.8.1.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: builder.remirepo.net
rpm_sourcerpm: valkey-search-1.0.1-1.module_valkey.8.1.fc43.remi.src.rpm
rpm_packager: Remi Collet
location_href: valkey-search-1.0.1-1.module_valkey.8.1.fc43.remi.x86_64.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.


