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Merge pull request #92 from redis/main
Releasing new tutorials
2 parents 01e3535 + 0d96ca4 commit a2515ad

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‎src/ds/hashes.md‎

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HINCRBY bike:1 price -100
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```
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New in [Redis Community Edition version 7.4](https://hub.docker.com/layers/redis/redis-stack/7.4.0-v0/images/sha256-3e3c86603a81712d1311bc619ad124de15b2dca2b50722f23a4502b4d4054ba8) is the ability set the expiration time or the remaining time-to-live (TTL) for individual hash fields. This is called hash field expiration (HFE). HFE works just like [key expiration](https://redis.io/docs/latest/develop/using-commands/keyspace/?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials#key-expiration) and includes the following commands:
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Available in [Redis 8](https://hub.docker.com/layers/library/redis/8.0.3/images/sha256-426e6823fb1778e8c49f327f9e5af00e505a7fca726ffe11b7930eb1d99ef5fd) is the ability set the expiration time or the remaining time-to-live (TTL) for individual hash fields. This is called hash field expiration (HFE). HFE works just like [key expiration](https://redis.io/docs/latest/develop/use/keyspace/?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials#key-expiration) and includes the following commands:
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- `hexpire` - set an expiration (time-to-live or TTL) in seconds on a hash key's field(s).
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- `hexpireat` - set a TTL as an absolute Unix timestamp (seconds since Unix epoch) on a hash key's field(s).
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```
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### Resources
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- A tutorial on building an [AI assistant](redisinsight:_?tutorialId=ai_assistant) using hash field expiration.
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- Hash type [reference page](https://redis.io/docs/latest/develop/data-types/hashes/?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials).
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- Entire set of [Redis hash commands](https://redis.io/commands/?group=hash?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials).
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- Check out [Get started with Redis](https://university.redis.io/learningpath/14q8m6gilfwltm?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials) learning path on Redis University for an introduction to working with all core data structures in Redis.

‎src/ds/json/adv-jsonpath.md‎

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[JSONPath](https://goessner.net/articles/JsonPath/) expressions help you access specific elements within a JSON document, which is similar to how XPATH works for XML documents.
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JSONPath support was added to Redis Stack in version 2.0.
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JSONPath support was added to the JSON data structure in version 2.0.
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Before that, [a legacy form of pathing](https://redis.io/docs/latest/develop/data-types/json/path/?utm_source=redisinsight&utm_medium=app&utm_campaign=json_tutorial#legacy-path-syntax) was supported.
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Only JSONPath will be discussed in this tutorial.
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JSON.GET obj2 $.*[0]
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```
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Redis Stack also supports slice syntax for arrays: `[start:`end`:`step`]`, where `start`, `end`, and `step` are indexes.
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The JSON data structure also supports slice syntax for arrays: `[start:`end`:`step`]`, where `start`, `end`, and `step` are indexes.
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If the current node is an array, an array containing elements extracted from an array are returned, based on a `start` index, an `end` index, and a `step` index.
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Array indexes are zero-based; the first element is index 0. Start Index is inclusive; End index is not inclusive.
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The following rules apply:

‎src/ds/json/intro.md‎

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The JSON capability of Redis Stack provides JavaScript Object Notation (JSON) support for Redis, which allows Redis to function as a document database.
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The JSON capability provides JavaScript Object Notation (JSON) support for Redis, which allows Redis to function as a document database.
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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 to let you index and query JSON documents.
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Primary features include:
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### Prerequisites
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[Redis Stack](https://redis.io/downloads/?utm_source=redisinsight&utm_medium=app&utm_campaign=json_tutorial) >=7.2.0-v7 \
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[Redis 8](https://hub.docker.com/layers/library/redis/8.0.3/images/sha256-426e6823fb1778e8c49f327f9e5af00e505a7fca726ffe11b7930eb1d99ef5fd) or higher \
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OR \
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[RedisJSON](https://github.com/RedisJSON/RedisJSON/) >=2.6.8 \
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OR \
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A free Redis Stack instance on [Redis Cloud](https://redis.io/try-free/?utm_source=redisinsight&utm_medium=app&utm_campaign=json_tutorial).
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A free Redis instance on [Redis Cloud](https://redis.io/try-free/?utm_source=redisinsight&utm_medium=app&utm_campaign=json_tutorial).

‎src/ds/json/more-adv-jsonpath.md‎

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#### Relational use cases using regular expression with the `=~` operator
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**Note**:
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> Redis Stack uses [Rust regular expressions syntax](https://docs.rs/regex/latest/regex/#syntax). Invalid regular expressions are not evaluated.
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> The JSON data structure uses [Rust regular expressions syntax](https://docs.rs/regex/latest/regex/#syntax). Invalid regular expressions are not evaluated.
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There are two cases:
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‎src/ds/prob/intro.md‎

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### Prerequisites
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[Redis Stack Server](https://redis.io/downloads/?utm_source=redisinsight&utm_medium=app&utm_campaign=probabilistic_tutorial) >=7.2.0-v7 \
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[Redis 8](https://hub.docker.com/layers/library/redis/8.0.3/images/sha256-426e6823fb1778e8c49f327f9e5af00e505a7fca726ffe11b7930eb1d99ef5fd) or higher \
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OR \
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[RedisBloom](https://redis.io/docs/latest/develop/data-types/probabilistic/bloom-filter/?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials) >=2.6.10 \
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OR \
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A free Redis Stack instance on [Redis Cloud](https://redis.io/try-free/?utm_source=redisinsight&utm_medium=app&utm_campaign=probabilistic_tutorial).
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A free Redis instance on [Redis Cloud](https://redis.io/try-free/?utm_source=redisinsight&utm_medium=app&utm_campaign=probabilistic_tutorial).

‎src/ds/ts/intro.md‎

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### Prerequisites
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[Redis Stack Server](https://redis.io/downloads/?utm_source=redisinsight&utm_medium=app&utm_campaign=timeseries_tutorial) >=7.2.0-v7 \
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[Redis 8](https://hub.docker.com/layers/library/redis/8.0.3/images/sha256-426e6823fb1778e8c49f327f9e5af00e505a7fca726ffe11b7930eb1d99ef5fd) or higher \
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OR \
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[RedisTimeSeries](https://redis.io/learn/modules/redistimeseries/?utm_campaign=timeseries_tutorial&utm_medium=app&utm_source=redisinsight) >=1.10.11 \
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OR \
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A free Redis Stack instance on [Redis Cloud](https://redis.io/try-free/?utm_source=redisinsight&utm_medium=app&utm_campaign=timeseries_tutorial).
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A free Redis instance on [Redis Cloud](https://redis.io/try-free/?utm_source=redisinsight&utm_medium=app&utm_campaign=timeseries_tutorial).

‎src/manifest.json‎

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}
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]
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},
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{
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"type": "group",
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"id": "vss",
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"label": "Vector search examples",
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"args": {
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"initialIsOpen": false
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},
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"children": [
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{
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"type": "internal-link",
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"id": "vss-intro",
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"label": "Introduction",
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"summary": "Understand how to use Redis as a vector database.",
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"args": {
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"path": "/vss/intro.md"
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}
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},
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{
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"type": "internal-link",
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"id": "e-commerce-discovery",
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"label": "E-commerce Discovery",
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"summary": "Find products by meaning, not just keywords.",
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"args": {
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"path": "/vss/e-commerce-discovery.md"
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}
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},
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{
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"type": "internal-link",
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"id": "personalized_recommendations",
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"label": "Building personalized recommendations",
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"summary": "Suggest movies based on the true meaning of plots or themes.",
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"args": {
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"path": "/vss/personalized_recommendations.md"
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}
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},
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{
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"type": "internal-link",
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"id": "ai_assistant",
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"label": "Creating an AI Assistant",
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"summary": "An assistant that temporarily remembers conversations and understands their meaning.",
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"args": {
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"path": "/vss/ai_assistant.md"
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}
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},
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{
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"type": "internal-link",
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"id": "vss-learn-more",
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"label": "Learn more",
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"args": {
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"path": "/vss/learn-more.md"
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}
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}
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]
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},
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{
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"type": "group",
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"id": "sq",
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"label": "How to query your data",
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"args": {
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"initialIsOpen": false
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},
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"children": [
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{
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"type": "internal-link",
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"id": "sq-intro",
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"label": "Introduction",
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"summary": "Try real-time searching and perform complex structured queries without compromising database performance.",
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"args": {
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"path": "/sq/intro.md"
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}
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},
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{
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"type": "internal-link",
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"id": "sq-exact-match",
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"label": "Exact match",
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"args": {
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"path": "/sq/exact-match.md"
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}
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},
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{
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"type": "internal-link",
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"id": "sq-full-text",
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"label": "Full-text search",
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"args": {
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"path": "/sq/full-text.md"
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}
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},
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{
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"type": "internal-link",
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"id": "sq-range",
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"label": "Range queries",
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"args": {
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"path": "/sq/range.md"
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}
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},
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{
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"type": "internal-link",
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"id": "sq-geospatial",
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"label": "Geospatial queries",
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"args": {
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"path": "/sq/geospatial.md"
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}
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},
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{
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"type": "internal-link",
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"id": "sq-combined",
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"label": "Combined queries",
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"args": {
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"path": "/sq/combined.md"
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}
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},
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{
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"type": "internal-link",
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"id": "sq-aggregations",
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"label": "Analytic and transformative queries",
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"args": {
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"path": "/sq/aggregations.md"
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}
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},
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{
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"type": "internal-link",
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"id": "sq-learn-more",
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"label": "Learn more",
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"args": {
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"path": "/sq/learn-more.md"
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}
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}
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]
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},
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"type": "group",
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"id": "ds",
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]
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}
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},
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{
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"type": "group",
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"id": "sq",
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"label": "How to query your data",
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"args": {
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"initialIsOpen": false
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},
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"children": [
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{
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"id": "sq-intro",
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"label": "Introduction",
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"summary": "Try real-time searching and perform complex structured queries without compromising the database performance.",
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"args": {
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"path": "/sq/intro.md"
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}
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{
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"type": "internal-link",
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"id": "sq-exact-match",
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"label": "Exact match",
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"args": {
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}
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},
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{
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"type": "internal-link",
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"label": "Full-text search",
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"args": {
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"path": "/sq/full-text.md"
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}
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},
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{
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"type": "internal-link",
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"id": "sq-range",
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"label": "Range queries",
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"args": {
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"path": "/sq/range.md"
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}
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},
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{
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"type": "internal-link",
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"id": "sq-geospatial",
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"label": "Geospatial queries",
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"args": {
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"path": "/sq/geospatial.md"
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}
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},
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{
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"type": "internal-link",
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"id": "sq-combined",
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"label": "Combined queries",
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"args": {
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"path": "/sq/combined.md"
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}
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},
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{
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"type": "internal-link",
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"id": "sq-aggregations",
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"label": "Analytic and transformative queries",
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"args": {
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"path": "/sq/aggregations.md"
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}
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},
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{
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"type": "internal-link",
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"id": "sq-learn-more",
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"label": "Learn more",
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"args": {
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"path": "/sq/learn-more.md"
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}
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}
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]
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},
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{
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"type": "group",
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"id": "vss",
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"label": "Vector search explained",
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"args": {
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"initialIsOpen": false
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},
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"children": [
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{
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"type": "internal-link",
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"id": "vss-intro",
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"label": "Introduction",
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"summary": "Understand how to use Redis as a vector database.",
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"args": {
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"path": "/vss/intro.md"
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}
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},
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{
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"type": "internal-link",
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"id": "vss-vectors-basic",
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"label": "Vector search (basic)",
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"path": "/vss/vectors-basic.md"
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}
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},
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{
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"type": "internal-link",
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"id": "vss-vectors-adv-hash",
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"label": "Vector search (advanced)",
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"args": {
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"path": "/vss/vectors-adv-hash.md"
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}
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},
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"type": "internal-link",
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"label": "Learn more",
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"args": {
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"path": "/vss/learn-more.md"
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}

‎src/sq/geospatial.md‎

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Redis Stack's geospatial feature allows you to query for data associated with geographic locations. You can either query for locations within a specific radius or based on geometric shapes, such as polygons. A polygon shape could, for instance, represent a lake or the layout of a building.
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Redis Query Engine's geospatial feature allows you to query for data associated with geographic locations. You can either query for locations within a specific radius or based on geometric shapes, such as polygons. A polygon shape could, for instance, represent a lake or the layout of a building.
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The examples in this article use the following schema:
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> We recommend using Redis 8 or higher to use the `GEOSHAPE` field type.
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```redis:[run_confirmation=true] Create the bike shop idx:bicycle
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FT.CREATE

‎src/sq/intro.md‎

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Redis Stack offers an enhanced Redis experience via the following Redis Query Engine features:
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The Redis Query Engine offers an enhanced Redis experience using the following search and query features:
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- A rich query language
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- Incremental indexing on JSON and hash documents
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The Redis Query Engine features of Redis Stack allow you to use Redis as a:
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The Redis Query Engine features allow you to use Redis as a:
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### Prerequisites
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[Redis Stack](https://redis.io/downloads/?utm_source=redisinsight&utm_medium=app&utm_campaign=query_engine_tutorial) >=7.4.0-v0 \
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[Redis 8](https://hub.docker.com/layers/library/redis/8.0.3/images/sha256-426e6823fb1778e8c49f327f9e5af00e505a7fca726ffe11b7930eb1d99ef5fd) or higher \
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[Redis Query Engine](https://github.com/RediSearch/RediSearch/) >=2.10.5 \
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A free Redis Stack instance on [Redis Cloud](https://redis.io/try-free/?utm_source=redisinsight&utm_medium=app&utm_campaign=query_engine_tutorial).
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A free Redis instance on [Redis Cloud](https://redis.io/try-free/?utm_source=redisinsight&utm_medium=app&utm_campaign=redis_query_engine_tutorial).

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