Tutorials for Vector Search and HFE

src/ds/hashes.md

@@ -44,7 +44,7 @@ HINCRBY bike:1 price 100
 HINCRBY bike:1 price -100
 ```
 
-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/use/keyspace/?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials#key-expiration) and includes the following commands:
+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:
 
 - `hexpire` - set an expiration (time-to-live or TTL) in seconds on a hash key's field(s).
 - `hexpireat` - set a TTL as an absolute Unix timestamp (seconds since Unix epoch) on a hash key's field(s).
@@ -80,6 +80,7 @@ HGETALL hash
 ```
 ### Resources
 
+- A tutorial on building an [AI assistant](redisinsight:_?tutorialId=ai_assistant) using hash field expiration.
 - Hash type [reference page](https://redis.io/docs/data-types/hashes?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials).
 - Entire set of [Redis hash commands](https://redis.io/commands/?group=hash?utm_source=redisinsight&utm_medium=main&utm_campaign=tutorials).
 - 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

@@ -1,5 +1,5 @@
 [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.
-JSONPath support was added to Redis Stack in version 2.0.
+JSONPath support was added to the JSON data structure in version 2.0.
 Before that, [a legacy form of pathing](https://redis.io/docs/data-types/json/path/#legacy-path-syntax) was supported.
 Only JSONPath will be discussed in this tutorial.
 
@@ -133,7 +133,7 @@ JSON.GET obj2 $.b[0]
 JSON.GET obj2 $.*[0]
 ```
 
-Redis Stack also supports slice syntax for arrays: `[start:`end`:`step`]`, where `start`, `end`, and `step` are indexes.
+The JSON data structure also supports slice syntax for arrays: `[start:`end`:`step`]`, where `start`, `end`, and `step` are indexes.
 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.
 Array indexes are zero-based; the first element is index 0. Start Index is inclusive; End index is not inclusive.
 The following rules apply:

src/ds/json/intro.md

@@ -1,4 +1,4 @@
-The JSON capability of Redis Stack provides JavaScript Object Notation (JSON) support for Redis, which allows Redis to function as a document database.
+The JSON capability provides JavaScript Object Notation (JSON) support for Redis, which allows Redis to function as a document database.
 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.
 
 Primary features include:
@@ -10,8 +10,8 @@ Primary features include:
 
 ### Prerequisites
 
-[Redis Stack](https://redis.io/downloads/?utm_source=redisinsight&utm_medium=app&utm_campaign=json_tutorial) >=7.2.0-v7 \
+[Redis 8](https://hub.docker.com/layers/library/redis/8.0.3/images/sha256-426e6823fb1778e8c49f327f9e5af00e505a7fca726ffe11b7930eb1d99ef5fd) or higher \
 OR \
 [RedisJSON](https://github.com/RedisJSON/RedisJSON/) >=2.6.8 \
 OR \
-A free Redis Stack instance on [Redis Cloud](https://redis.io/try-free/?utm_source=redisinsight&utm_medium=app&utm_campaign=json_tutorial).
+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

@@ -112,7 +112,7 @@ JSON.GET obj2 '$.a[?(@!="a")]' // [1,2,3,"b","c",false,true,["a",1],{"a":1},{"b"
 #### Relational use cases using regular expression with the `=~` operator
 
 **Note**:
-> Redis Stack uses [Rust regular expressions syntax](https://docs.rs/regex/latest/regex/#syntax). Invalid regular expressions are not evaluated.
+> The JSON data structure uses [Rust regular expressions syntax](https://docs.rs/regex/latest/regex/#syntax). Invalid regular expressions are not evaluated.
 
 There are two cases:
 

src/ds/prob/intro.md

@@ -48,8 +48,8 @@ The following data structures trade perfect accuracy for extreme memory efficien
 
 ### Prerequisites
 
-[Redis Stack Server](https://redis.io/downloads/?utm_source=redisinsight&utm_medium=app&utm_campaign=probabilistic_tutorial) >=7.2.0-v7 \
+[Redis 8](https://hub.docker.com/layers/library/redis/8.0.3/images/sha256-426e6823fb1778e8c49f327f9e5af00e505a7fca726ffe11b7930eb1d99ef5fd) or higher \
 OR \
 [RedisBloom](https://oss.redis.com/redisbloom/) >=2.6.10 \
 OR \
-A free Redis Stack instance on [Redis Cloud](https://redis.io/try-free/?utm_source=redisinsight&utm_medium=app&utm_campaign=probabilistic_tutorial).
+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

@@ -16,8 +16,8 @@ You can ingest and query millions of samples and events at the speed of Redis.
 
 ### Prerequisites
 
-[Redis Stack Server](https://redis.io/downloads/?utm_source=redisinsight&utm_medium=app&utm_campaign=timeseries_tutorial) >=7.2.0-v7 \
+[Redis 8](https://hub.docker.com/layers/library/redis/8.0.3/images/sha256-426e6823fb1778e8c49f327f9e5af00e505a7fca726ffe11b7930eb1d99ef5fd) or higher \
 OR \
 [RedisTimeSeries](https://oss.redis.com/redistimeseries/) >=1.10.11 \
 OR \
-A free Redis Stack instance on [Redis Cloud](https://redis.io/try-free/?utm_source=redisinsight&utm_medium=app&utm_campaign=timeseries_tutorial).
+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

@@ -37,6 +37,135 @@
         }
       ]
     },
+    {
+      "type": "group",
+      "id": "vss",
+      "label": "Vector search examples",
+      "args": {
+        "initialIsOpen": false
+      },
+      "children": [
+        {
+          "type": "internal-link",
+          "id": "vss-intro",
+          "label": "Introduction",
+          "summary": "Understand how to use Redis as a vector database.",
+          "args": {
+            "path": "/vss/intro.md"
+          }
+        },
+        {
+          "type": "internal-link",
+          "id": "e-commerce-discovery",
+          "label": "E-commerce Discovery",
+          "summary": "Find products by meaning, not just keywords.",
+          "args": {
+            "path": "/vss/e-commerce-discovery.md"
+          }
+        },
+        {
+          "type": "internal-link",
+          "id": "personalized_recommendations",
+          "label": "Building personalized recommendations",
+          "summary": "Suggest movies based on the true meaning of plots or themes.",
+          "args": {
+            "path": "/vss/personalized_recommendations.md"
+          }
+        },
+        {
+          "type": "internal-link",
+          "id": "ai_assistant",
+          "label": "Creating an AI Assistant",
+          "summary": "An assistant that temporarily remembers conversations and understands their meaning.",
+          "args": {
+            "path": "/vss/ai_assistant.md"
+          }
+        },
+        {
+          "type": "internal-link",
+          "id": "vss-learn-more",
+          "label": "Learn more",
+          "args": {
+            "path": "/vss/learn-more.md"
+          }
+        }
+      ]
+    },
+    {
+      "type": "group",
+      "id": "sq",
+      "label": "How to query your data",
+      "args": {
+        "initialIsOpen": false
+      },
+      "children": [
+        {
+          "type": "internal-link",
+          "id": "sq-intro",
+          "label": "Introduction",
+          "summary": "Try real-time searching and perform complex structured queries without compromising database performance.",
+          "args": {
+            "path": "/sq/intro.md"
+          }
+        },
+        {
+          "type": "internal-link",
+          "id": "sq-exact-match",
+          "label": "Exact match",
+          "args": {
+            "path": "/sq/exact-match.md"
+          }
+        },
+        {
+          "type": "internal-link",
+          "id": "sq-full-text",
+          "label": "Full-text search",
+          "args": {
+            "path": "/sq/full-text.md"
+          }
+        },
+        {
+          "type": "internal-link",
+          "id": "sq-range",
+          "label": "Range queries",
+          "args": {
+            "path": "/sq/range.md"
+          }
+        },
+        {
+          "type": "internal-link",
+          "id": "sq-geospatial",
+          "label": "Geospatial queries",
+          "args": {
+            "path": "/sq/geospatial.md"
+          }
+        },
+        {
+          "type": "internal-link",
+          "id": "sq-combined",
+          "label": "Combined queries",
+          "args": {
+            "path": "/sq/combined.md"
+          }
+        },
+        {
+          "type": "internal-link",
+          "id": "sq-aggregations",
+          "label": "Analytic and transformative queries",
+          "args": {
+            "path": "/sq/aggregations.md"
+          }
+        },
+        {
+          "type": "internal-link",
+          "id": "sq-learn-more",
+          "label": "Learn more",
+          "args": {
+            "path": "/sq/learn-more.md"
+          }
+        }
+      ]
+    },
     {
       "type": "group",
       "id": "ds",
@@ -308,124 +437,6 @@
           ]
         }
       ]
-    },
-    {
-      "type": "group",
-      "id": "sq",
-      "label": "How to query your data",
-      "args": {
-        "initialIsOpen": false
-      },
-      "children": [
-        {
-          "type": "internal-link",
-          "id": "sq-intro",
-          "label": "Introduction",
-          "summary": "Try real-time searching and perform complex structured queries without compromising the database performance.",
-          "args": {
-            "path": "/sq/intro.md"
-          }
-        },
-        {
-          "type": "internal-link",
-          "id": "sq-exact-match",
-          "label": "Exact match",
-          "args": {
-            "path": "/sq/exact-match.md"
-          }
-        },
-        {
-          "type": "internal-link",
-          "id": "sq-full-text",
-          "label": "Full-text search",
-          "args": {
-            "path": "/sq/full-text.md"
-          }
-        },
-        {
-          "type": "internal-link",
-          "id": "sq-range",
-          "label": "Range queries",
-          "args": {
-            "path": "/sq/range.md"
-          }
-        },
-        {
-          "type": "internal-link",
-          "id": "sq-geospatial",
-          "label": "Geospatial queries",
-          "args": {
-            "path": "/sq/geospatial.md"
-          }
-        },
-        {
-          "type": "internal-link",
-          "id": "sq-combined",
-          "label": "Combined queries",
-          "args": {
-            "path": "/sq/combined.md"
-          }
-        },
-        {
-          "type": "internal-link",
-          "id": "sq-aggregations",
-          "label": "Analytic and transformative queries",
-          "args": {
-            "path": "/sq/aggregations.md"
-          }
-        },
-        {
-          "type": "internal-link",
-          "id": "sq-learn-more",
-          "label": "Learn more",
-          "args": {
-            "path": "/sq/learn-more.md"
-          }
-        }
-      ]
-    },
-    {
-      "type": "group",
-      "id": "vss",
-      "label": "Vector search explained",
-      "args": {
-        "initialIsOpen": false
-      },
-      "children": [
-        {
-          "type": "internal-link",
-          "id": "vss-intro",
-          "label": "Introduction",
-          "summary": "Understand how to use Redis as a vector database.",
-          "args": {
-            "path": "/vss/intro.md"
-          }
-        },
-        {
-          "type": "internal-link",
-          "id": "vss-vectors-basic",
-          "label": "Vector search (basic)",
-          "args": {
-            "path": "/vss/vectors-basic.md"
-          }
-        },
-        {
-          "type": "internal-link",
-          "id": "vss-vectors-adv-hash",
-          "label": "Vector search (advanced)",
-          "args": {
-            "path": "/vss/vectors-adv-hash.md"
-          }
-        },
-        {
-          "type": "internal-link",
-          "id": "vss-learn-more",
-          "label": "Learn more",
-          "args": {
-            "path": "/vss/learn-more.md"
-          }
-        }
-      ]
     }
   ]
 }

src/sq/geospatial.md

@@ -1,4 +1,4 @@
-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.
+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.
 
 The examples in this article use the following schema:
 
@@ -9,7 +9,7 @@ The examples in this article use the following schema:
 
 
 **Note**:
-> Redis Stack version 7.2.0 or higher is required to use the `GEOSHAPE` field type.
+> We recommend using Redis 8 or higher to use the `GEOSHAPE` field type.
 
 ```redis:[run_confirmation=true] Create the bike shop idx:bicycle
 FT.CREATE

src/sq/intro.md

@@ -1,4 +1,4 @@
-Redis Stack offers an enhanced Redis experience via the following Redis Query Engine features:
+The Redis Query Engine offers an enhanced Redis experience using the following search and query features:
 
 - A rich query language
 - Incremental indexing on JSON and hash documents
@@ -7,7 +7,7 @@ Redis Stack offers an enhanced Redis experience via the following Redis Query En
 - Geospatial queries
 - Aggregations
 
-The Redis Query Engine features of Redis Stack allow you to use Redis as a:
+The Redis Query Engine features allow you to use Redis as a:
 
 - Document database
 - Vector database
@@ -16,8 +16,8 @@ The Redis Query Engine features of Redis Stack allow you to use Redis as a:
 
 ### Prerequisites
 
-[Redis Stack](https://redis.io/downloads/?utm_source=redisinsight&utm_medium=app&utm_campaign=query_engine_tutorial) >=7.4.0-v0 \
+[Redis 8](https://hub.docker.com/layers/library/redis/8.0.3/images/sha256-426e6823fb1778e8c49f327f9e5af00e505a7fca726ffe11b7930eb1d99ef5fd) or higher \
 OR \
 [Redis Query Engine](https://github.com/RediSearch/RediSearch/) >=2.10.5 \
 OR \
-A free Redis Stack instance on [Redis Cloud](https://redis.io/try-free/?utm_source=redisinsight&utm_medium=app&utm_campaign=query_engine_tutorial).
+A free Redis instance on [Redis Cloud](https://redis.io/try-free/?utm_source=redisinsight&utm_medium=app&utm_campaign=redis_query_engine_tutorial).