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DEV: redis search > redis query engine changes (first round)
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content/develop/connect/clients/client-side-caching.md

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[`HSCAN`]({{< relref "/commands/hscan" >}}),
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and [`ZRANDMEMBER`]({{< relref "/commands/zrandmember" >}}). By design, these commands
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give different results each time they are called.
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- Search and query commands (with the `FT.*` prefix), such as
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- Redis Query Engine commands (with the `FT.*` prefix), such as
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[`FT.SEARCH`]({{< baseurl >}}/commands/ft.search).
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You can use the [`MONITOR`]({{< relref "/commands/monitor" >}}) command to

content/develop/connect/insight/release-notes/v.2.56.0.md

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- [#3624](https://github.com/RedisInsight/RedisInsight/pull/3624) The ability to hide or show [TTL for individual hash fields](https://redis.io/docs/latest/develop/data-types/hashes/?utm_source=redisinsight&utm_medium=release_notes&utm_campaign=2.52#field-expiration) to create a cleaner, more efficient workspace. This optimization complements the highly requested hash field expiration feature introduced in the [first release candidate of Redis 7.4](https://github.com/redis-stack/redis-stack/releases/tag/v7.4.0-v0).
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- [#3701](https://github.com/RedisInsight/RedisInsight/pull/3701) Enhanced vector data representation with updated 32-bit and 64-bit vector formatters in the Browser. These changes ensure that vector formatters are applied only to data containing unprintable values when converted to UTF-8, providing a clearer and more accurate view of your data.
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- [#3714](https://github.com/RedisInsight/RedisInsight/pull/3714) UX optimizations to make it easier and more intuitive to connect to your [Redis Data Integration (RDI)](https://redis.io/data-integration/?utm_source=redisinsight&utm_medium=repository&utm_campaign=release_notes) instance within Redis Insight.
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- [#3665](https://github.com/RedisInsight/RedisInsight/pull/3665) A new timestamp formatter in the Browser to improve data readability. This formatter converts timestamps in hash fields to a human-readable format, making it easier to interpret results, validate and optimize queries, and inspect indexed data when using the [search and query](https://redis.io/docs/latest/develop/interact/search-and-query/?utm_source=redisinsight&utm_medium=repository&utm_campaign=release_notes) capability.
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- [#3665](https://github.com/RedisInsight/RedisInsight/pull/3665) A new timestamp formatter in the Browser to improve data readability. This formatter converts timestamps in hash fields to a human-readable format, making it easier to interpret results, validate and optimize queries, and inspect indexed data when using the [Redis Query Engine](https://redis.io/docs/latest/develop/interact/search-and-query/?utm_source=redisinsight&utm_medium=repository&utm_campaign=release_notes).
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- [#3730](https://github.com/RedisInsight/RedisInsight/pull/3730) Date and time format customization to make the data more intuitive in Redis Insight. This flexibility helps match your local time zone or standardize it to UTC for better alignment in time-critical operations across global teams.

content/develop/data-types/json/_index.md

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[![Discord](https://img.shields.io/discord/697882427875393627?style=flat-square)](https://discord.gg/QUkjSsk)
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[![Github](https://img.shields.io/static/v1?label=&message=repository&color=5961FF&logo=github)](https://github.com/RedisJSON/RedisJSON/)
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The JSON capability of Redis Stack provides JavaScript Object Notation (JSON) support for Redis. It lets you store, update, and retrieve JSON values in a Redis database, similar to any other Redis data type. Redis JSON also works seamlessly with [Search and Query]({{< relref "/develop/interact/search-and-query/" >}}) to let you [index and query JSON documents]({{< relref "/develop/interact/search-and-query/indexing/" >}}).
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The JSON capability of Redis Stack provides JavaScript Object Notation (JSON) support for Redis. It lets you store, update, and retrieve JSON values in a Redis database, similar to any other Redis data type. Redis JSON also works seamlessly with the [Redis Query Engine]({{< relref "/develop/interact/search-and-query/" >}}) to let you [index and query JSON documents]({{< relref "/develop/interact/search-and-query/indexing/" >}}).
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## Primary features
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content/develop/data-types/json/indexing_JSON.md

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- oss
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- kubernetes
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- clients
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description: Combine Redis JSON and Search and Query to index and search JSON documents
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description: Combine Redis JSON and the Redis Query Engine to index and search JSON documents
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linkTitle: Index/Search
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title: Index/Search JSON documents
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weight: 2
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---
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In addition to storing JSON documents, you can also index them using the [Search and Query]({{< relref "/develop/interact/search-and-query/" >}}) feature. This enables full-text search capabilities and document retrieval based on their content.
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In addition to storing JSON documents, you can also index them using the [Redis Query Engine]({{< relref "/develop/interact/search-and-query/" >}}) feature. This enables full-text search capabilities and document retrieval based on their content.
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To use these features, you must install two modules: RedisJSON and RediSearch. [Redis Stack]({{< relref "/operate/oss_and_stack/" >}}) automatically includes both modules.
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content/develop/data-types/json/use_cases.md

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**Indexing and querying**
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When you store JSON objects as Redis strings, there's no good way to query those objects. On the other hand, storing these objects as JSON using Redis Stack lets you index and query them. This is provided by the search and query capabilities of Redis Stack.
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When you store JSON objects as Redis strings, there's no good way to query those objects. On the other hand, storing these objects as JSON using Redis Stack lets you index and query them. This capability is provided by the Redis Query Engine.

content/develop/data-types/sets.md

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If you're concerned about memory usage and don't need perfect precision, consider a [Bloom filter or Cuckoo filter]({{< relref "/develop/data-types/probabilistic/bloom-filter" >}}) as an alternative to a set.
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Redis sets are frequently used as a kind of index.
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If you need to index and query your data, consider the [JSON]({{< relref "/develop/data-types/json/" >}}) data type and the [Search and query]({{< relref "/develop/interact/search-and-query/" >}}) features.
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If you need to index and query your data, consider the [JSON]({{< relref "/develop/data-types/json/" >}}) data type and the [Redis Query Engine]({{< relref "/develop/interact/search-and-query/" >}}) features.
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## Learn more
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content/develop/data-types/sorted-sets.md

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## Alternatives
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Redis sorted sets are sometimes used for indexing other Redis data structures.
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If you need to index and query your data, consider the [JSON]({{< relref "/develop/data-types/json/" >}}) data type and the [Search and query]({{< relref "/develop/interact/search-and-query/" >}}) features.
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If you need to index and query your data, consider the [JSON]({{< relref "/develop/data-types/json/" >}}) data type and the [Redis Query Engine]({{< relref "/develop/interact/search-and-query/" >}}) features.
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## Learn more
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content/develop/get-started/document-database.md

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OK
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{{< / clients-example >}}
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## Search and query
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## Search and query using the Redis Query Engine
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### Wildcard query
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content/develop/get-started/vector-database.md

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You can alternatively use the [installation guides]({{< relref "/operate/oss_and_stack/install/install-stack/" >}}) to install Redis Stack on your local machine.
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You need to have the following features configured for your Redis server: JSON and search and query.
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You need to have the following features configured for your Redis server: JSON and Search and query.
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## Install the required Python packages
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## Next steps
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1. You can learn more about the query options, such as filters and vector range queries, by reading the [vector reference documentation]({{< relref "/develop/interact/search-and-query/advanced-concepts/vectors" >}}).
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2. The complete [search and query documentation]({{< relref "/develop/interact/search-and-query/" >}}) might be interesting for you.
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2. The complete [Redis Query Engine documentation]({{< relref "/develop/interact/search-and-query/" >}}) might be interesting for you.
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3. If you want to follow the code examples more interactively, then you can use the [Jupyter notebook](https://github.com/RedisVentures/redis-vss-getting-started/blob/main/vector_similarity_with_redis.ipynb) that inspired this quick start guide.
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4. If you want to see more advanced examples of a Redis vector database in action, visit the [Redis AI Resources](https://github.com/redis-developer/redis-ai-resources) page on GitHub.

content/develop/interact/_index.md

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Redis is useful as a key-value store but also gives you other powerful ways
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to interact with your data:
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- [Search and query](#search-and-query)
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- [Redis Query Engine](#search-and-query)
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- [Programmability](#programmability)
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- [Transactions](#transactions)
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- [Publish/subscribe](#publishsubscribe)
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## Search and query
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## Search and query with the Redis Query Engine
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The [Redis query engine]({{< relref "/develop/interact/search-and-query" >}})
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lets you retrieve data by content rather than by key. You

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