Merge branch 'release-rs-gilboa' into DOC-5822

Author: rrelledge

content/commands/json.get.md

@@ -92,8 +92,6 @@ sets the string that's printed at the end of each line.
 
 sets the string that's put between a key and a value.
 </details>
-
-{{% alert title="Note" color="warning" %}}
 
 Produce pretty-formatted JSON with `redis-cli` by following this example:
 
@@ -102,8 +100,6 @@ Produce pretty-formatted JSON with `redis-cli` by following this example:
 redis> JSON.GET myjsonkey INDENT "\t" NEWLINE "\n" SPACE " " path.to.value[1]
 {{< / highlight >}}
 
-{{% /alert %}}
-
 ## Examples
 
 <details open>

content/commands/pexpire.md

@@ -108,13 +108,13 @@ TTL mykey
     tab2="RESP3" >}}
 
 One of the following:
-* [Integer reply](../../develop/reference/protocol-spec#integers): `0`if the timeout was not set. For example, if the key doesn't exist, or the operation skipped because of the provided arguments.
+* [Integer reply](../../develop/reference/protocol-spec#integers): `0` if the timeout was not set. For example, if the key doesn't exist, or the operation skipped because of the provided arguments.
 * [Integer reply](../../develop/reference/protocol-spec#integers): `1` if the timeout was set.
 
 -tab-sep-
 
 One of the following:
-* [Integer reply](../../develop/reference/protocol-spec#integers): `0`if the timeout was not set. For example, if the key doesn't exist, or the operation skipped because of the provided arguments.
+* [Integer reply](../../develop/reference/protocol-spec#integers): `0` if the timeout was not set. For example, if the key doesn't exist, or the operation skipped because of the provided arguments.
 * [Integer reply](../../develop/reference/protocol-spec#integers): `1` if the timeout was set.
 
 {{< /multitabs >}}

content/develop/ai/agent-builder/_index.md

@@ -62,13 +62,13 @@ The generated code includes detailed setup instructions and best practices to ge
 
 ### Redis AI documentation
 
-- [Redis Vector Search](/develop/interact/search-and-query/vector-search/) - Semantic search capabilities
+- [Redis Vector Search]({{< relref "/develop/ai/search-and-query/vectors/" >}}) - Semantic search capabilities 
 - [Redis Streams](/develop/data-types/streams/) - Real-time data and conversation history
-- [AI Notebooks Collection](/develop/ai/notebook-collection/) - Interactive tutorials and examples
-- [Ecosystem Integrations](/develop/ai/ecosystem-integrations/) - Redis with AI frameworks
+- [AI Notebooks Collection]({{< relref "/develop/ai/notebook-collection" >}}) - Interactive tutorials and examples 
+- [Ecosystem Integrations]({{< relref "/develop/ai/ecosystem-integrations" >}}) - Redis with AI frameworks
 
 ### Community and support
 
 - Join the [Redis Discord](https://discord.gg/redis) for community support
 - Explore [Redis AI Resources on GitHub](https://github.com/redis-developer/redis-ai-resources)
-- Watch [AI Video Collection](/develop/ai/ai-videos/) for tutorials and demonstrations
+- Watch [AI Video Collection]({{< relref "/develop/ai/ai-videos" >}}) for tutorials and demonstrations

content/develop/ai/agent-builder/agent-concepts.md

@@ -73,7 +73,7 @@ Redis is the **ideal foundation** for AI agents because it excels at the three t
 - SVS-VAMANA leverages Intel hardware acceleration for enhanced performance
 - Hybrid search combining vector similarity with metadata filtering
 - Real-time updates without index rebuilds
-- [Learn more about Redis Vector Search →](/develop/interact/search-and-query/advanced-concepts/vectors/)
+- [Learn more about Redis Vector Search →]({{< relref "/develop/ai/search-and-query/vectors/" >}})
 
 **Agent memory**
 - **Short-term**: Conversation context and session state
@@ -87,7 +87,7 @@ Redis is the **ideal foundation** for AI agents because it excels at the three t
 
 <div>
 
-<div class="bg-gray-50 dark:bg-gray-800 p-4 rounded-lg border border-gray-200 dark:border-gray-700 mb-4">
+<div class="bg-gray-50 p-4 rounded-lg border border-gray-200  mb-4">
 <h3 class="no-toc">Conversational assistants</h3>
 
 Build chatbots and virtual assistants that:
@@ -99,7 +99,7 @@ Build chatbots and virtual assistants that:
 [Build a conversational agent →](../)
 </div>
 
-<div class="bg-gray-50 dark:bg-gray-800 p-4 rounded-lg border border-gray-200 dark:border-gray-700 mb-4">
+<div class="bg-gray-50 p-4 rounded-lg border border-gray-200 mb-4">
 <h3 class="no-toc">Recommendation engines</h3>
 
 Create intelligent recommendation systems that:
@@ -111,7 +111,7 @@ Create intelligent recommendation systems that:
 [Build a recommendation agent →](../)
 </div>
 
-<div class="bg-gray-50 dark:bg-gray-800 p-4 rounded-lg border border-gray-200 dark:border-gray-700 mb-4">
+<div class="bg-gray-50 p-4 rounded-lg border border-gray-200 mb-4">
 <h3 class="no-toc">Task automation agents</h3>
 
 Automate complex workflows and business processes:
@@ -121,7 +121,7 @@ Automate complex workflows and business processes:
 - Monitor and report on task completion
 </div>
 
-<div class="bg-gray-50 dark:bg-gray-800 p-4 rounded-lg border border-gray-200 dark:border-gray-700 mb-4">
+<div class="bg-gray-50 p-4 rounded-lg border border-gray-200 mb-4">
 <h3 class="no-toc">Data analysis agents</h3>
 
 Process and analyze large datasets intelligently:
@@ -131,7 +131,7 @@ Process and analyze large datasets intelligently:
 - Create visualizations and dashboards
 </div>
 
-<div class="bg-gray-50 dark:bg-gray-800 p-4 rounded-lg border border-gray-200 dark:border-gray-700 mb-4">
+<div class="bg-gray-50 p-4 rounded-lg border border-gray-200 mb-4">
 <h3 class="no-toc">Content generation agents</h3>
 
 Create and manage content at scale:
@@ -145,7 +145,7 @@ Create and manage content at scale:
 
 <div>
 
-<div class="bg-gray-50 dark:bg-gray-800 p-4 rounded-lg border border-gray-200 dark:border-gray-700 mb-4">
+<div class="bg-gray-50 p-4 rounded-lg border border-gray-200 mb-4">
 <h3 class="no-toc">Customer support agents</h3>
 
 Provide intelligent customer service:
@@ -155,7 +155,7 @@ Provide intelligent customer service:
 - Learn from interactions to improve responses
 </div>
 
-<div class="bg-gray-50 dark:bg-gray-800 p-4 rounded-lg border border-gray-200 dark:border-gray-700 mb-4">
+<div class="bg-gray-50 p-4 rounded-lg border border-gray-200 mb-4">
 <h3 class="no-toc">Research and retrieval agents</h3>
 
 Find and synthesize information from multiple sources:
@@ -165,7 +165,7 @@ Find and synthesize information from multiple sources:
 - Maintain up-to-date knowledge repositories
 </div>
 
-<div class="bg-gray-50 dark:bg-gray-800 p-4 rounded-lg border border-gray-200 dark:border-gray-700 mb-4">
+<div class="bg-gray-50 p-4 rounded-lg border border-gray-200 mb-4">
 <h3 class="no-toc">Monitoring and alerting agents</h3>
 
 Watch systems and notify when action is needed:
@@ -175,7 +175,7 @@ Watch systems and notify when action is needed:
 - Suggest remediation actions
 </div>
 
-<div class="bg-gray-50 dark:bg-gray-800 p-4 rounded-lg border border-gray-200 dark:border-gray-700 mb-4">
+<div class="bg-gray-50 p-4 rounded-lg border border-gray-200 mb-4">
 <h3 class="no-toc">Personal productivity agents</h3>
 
 Help users manage tasks and information:
@@ -185,7 +185,7 @@ Help users manage tasks and information:
 - Learn user preferences and habits
 </div>
 
-<div class="bg-gray-50 dark:bg-gray-800 p-4 rounded-lg border border-gray-200 dark:border-gray-700 mb-4">
+<div class="bg-gray-50 p-4 rounded-lg border border-gray-200 mb-4">
 <h3 class="no-toc">Trading and financial agents</h3>
 
 Make intelligent financial decisions:
@@ -269,7 +269,7 @@ Understanding how to map agent memory needs to Redis data structures is crucial
 - Key benefits: High-performance vector similarity search, multiple distance metrics, real-time indexing
 - Implementation: RAG systems, semantic memory, content discovery, personalized recommendations
 - Queries: K-nearest neighbor search, range queries, hybrid filtering with metadata
-- [Learn about Redis Vector Sets →](/develop/data-types/vector/)
+- [Learn about Redis Vector Sets →]({{< relref "/develop/data-types/vector-sets" >}})
 
 ### Redis Sorted Sets for Rankings and Priorities
 
@@ -329,21 +329,21 @@ Production-ready agents include built-in reliability features:
 - Load balancing: Distribute requests across agent instances
 - Redis clustering: Scale data storage across multiple nodes
 - Caching layers: CDN for static content, Redis for dynamic data
-- [Learn about Redis scaling →](/operate/rs/clusters/)
+- [Learn about Redis scaling →]({{< relref "/operate/rs/clusters" >}})
 
 ### Cost Optimization
 
 - LLM cost management: Use appropriate models for different tasks
 - Redis memory optimization: Efficient data structures and TTL policies
 - API rate limiting: Prevent excessive external API calls
 - Resource monitoring: Track and optimize compute and storage costs
-- [Redis performance optimization →](/operate/rs/administering/database-operations/memory-performance/)
+- [Redis performance optimization →]({{< relref "/operate/rs/databases/memory-performance" >}})
 
 ---
 
 ## Key takeaways
 
-<div class="bg-gray-50 dark:bg-gray-800 p-6 rounded-lg border border-gray-200 dark:border-gray-700 my-8">
+<div class="bg-gray-50 p-6 rounded-lg border border-gray-200 my-8">
 
 **What makes agents different:**
 Agents maintain memory, plan multi-step tasks, and learn from interactions—unlike simple chatbots.
@@ -361,16 +361,16 @@ Conversational assistants, recommendation engines, and complex multi-agent syste
 Ready to build your AI agent with Redis?
 
 **Get started:**
-- [Use the agent builder](/develop/ai/agent-builder/) to generate your code and get started
-- [Redis quick start guide](/develop/get-started/) for setting up Redis
+- [Use the agent builder]({{< relref "/develop/ai/agent-builder" >}}) to generate your code and get started
+- [Redis quick start guide]({{< relref "/develop/get-started" >}}) for setting up Redis
 
 **Learn more:**
-- [Redis Vector Search documentation](/develop/interact/search-and-query/advanced-concepts/vectors/)
-- [RedisVL Python library](/develop/clients/redisvl/) for vector operations and AI workflows
+- [Redis Vector Search documentation]({{< relref "develop/ai/search-and-query/vectors" >}})
+- [RedisVL Python library]({{< relref "develop/clients/redis-vl" >}}) for vector operations and AI workflows
 - [Redis data structures guide](/develop/data-types/)
-- [Redis client libraries](/develop/clients/) for your programming language
+- [Redis client libraries]({{< relref "/develop/clients" >}}) for your programming language
 
 **Deploy and scale:**
-- [Redis Cloud](/operate/rc/) for managed Redis hosting
-- [Redis Enterprise](/operate/rs/) for on-premises deployment
-- [Performance optimization](/operate/rs/administering/database-operations/memory-performance/) best practices
+- [Redis Cloud]({{< relref "/operate/rc" >}}) for managed Redis hosting
+- [Redis Enterprise]({{< relref "/operate/rs" >}}) for on-premises deployment
+- [Performance optimization]({{< relref "/operate/rs/databases/memory-performance" >}}) best practices

content/develop/ai/redisvl/0.9.1/_index.md

@@ -0,0 +1,33 @@
+---
+categories:
+- docs
+- integrate
+- stack
+- oss
+- rs
+- rc
+- oss
+- clients
+description: This is the Redis vector library (RedisVL).
+group: library
+hidden: false
+linkTitle: 0.9.1
+summary: RedisVL provides a powerful, dedicated Python client library for using Redis
+  as a vector database. Leverage Redis's speed, reliability, and vector-based semantic
+  search capabilities to supercharge your application.
+title: RedisVL
+type: integration
+weight: 1
+bannerText: This documentation applies to version 0.9.1.
+bannerChildren: true
+url: '/develop/ai/redisvl/0.9.1/'
+---
+RedisVL is a powerful, dedicated Python client library for Redis that enables seamless integration and management of high-dimensional vector data.
+Built to support machine learning and artificial intelligence workflows, RedisVL simplifies the process of storing, searching, and analyzing vector embeddings, which are commonly used for tasks like recommendation systems, semantic search, and anomaly detection.
+
+Key features of RedisVL include:
+
+- Vector Similarity Search: Efficiently find nearest neighbors in high-dimensional spaces using algorithms like HNSW (Hierarchical Navigable Small World).
+- Integration with AI Frameworks: RedisVL works seamlessly with popular frameworks such as TensorFlow, PyTorch, and Hugging Face, making it easy to deploy AI models.
+- Scalable and Fast: Leveraging Redis's in-memory architecture, RedisVL provides low-latency access to vector data, even at scale.
+- By bridging the gap between data storage and AI model deployment, RedisVL empowers developers to build intelligent, real-time applications with minimal infrastructure complexity.

content/develop/ai/redisvl/0.9.1/api/_index.md

@@ -0,0 +1,60 @@
+---
+linkTitle: RedisVL API
+title: RedisVL API
+weight: 5
+hideListLinks: true
+url: '/develop/ai/redisvl/0.9.1/api/'
+---
+
+
+Reference documentation for the RedisVL API.
+
+
+
+* [Schema](schema/)
+  * [IndexSchema](schema/#indexschema)
+  * [Defining Fields](schema/#defining-fields)
+  * [Supported Field Types and Attributes](schema/#supported-field-types-and-attributes)
+* [Search Index Classes](searchindex/)
+  * [SearchIndex](searchindex/#searchindex)
+  * [AsyncSearchIndex](searchindex/#asyncsearchindex)
+* [Query](query/)
+  * [VectorQuery](query/#vectorquery)
+  * [VectorRangeQuery](query/#vectorrangequery)
+  * [HybridQuery](query/#hybridquery)
+  * [TextQuery](query/#textquery)
+  * [FilterQuery](query/#filterquery)
+  * [CountQuery](query/#countquery)
+* [Filter](filter/)
+  * [FilterExpression](filter/#filterexpression)
+  * [Tag](filter/#tag)
+  * [Text](filter/#text)
+  * [Num](filter/#num)
+  * [Geo](filter/#geo)
+  * [GeoRadius](filter/#georadius)
+* [Vectorizers](vectorizer/)
+  * [HFTextVectorizer](vectorizer/#hftextvectorizer)
+  * [OpenAITextVectorizer](vectorizer/#openaitextvectorizer)
+  * [AzureOpenAITextVectorizer](vectorizer/#azureopenaitextvectorizer)
+  * [VertexAITextVectorizer](vectorizer/#vertexaitextvectorizer)
+  * [CohereTextVectorizer](vectorizer/#coheretextvectorizer)
+  * [BedrockTextVectorizer](vectorizer/#bedrocktextvectorizer)
+  * [CustomTextVectorizer](vectorizer/#customtextvectorizer)
+  * [VoyageAITextVectorizer](vectorizer/#voyageaitextvectorizer)
+* [Rerankers](reranker/)
+  * [CohereReranker](reranker/#coherereranker)
+  * [HFCrossEncoderReranker](reranker/#hfcrossencoderreranker)
+  * [VoyageAIReranker](reranker/#voyageaireranker)
+* [LLM Cache](cache/)
+  * [SemanticCache](cache/#semanticcache)
+* [Embeddings Cache](cache/#embeddings-cache)
+  * [EmbeddingsCache](cache/#embeddingscache)
+* [LLM Message History](message_history/)
+  * [SemanticMessageHistory](message_history/#semanticmessagehistory)
+  * [MessageHistory](message_history/#messagehistory)
+* [Semantic Router](router/)
+  * [Semantic Router](router/#semantic-router-api)
+  * [Routing Config](router/#routing-config)
+  * [Route](router/#route)
+  * [Route Match](router/#route-match)
+  * [Distance Aggregation Method](router/#distance-aggregation-method)