Merge pull request #1838 from redis/revert-1703-DOC-5172

Revert "RC: LangCache public preview"

Author: cmilesb

content/develop/ai/langcache.md

@@ -0,0 +1,96 @@
+---
+Title: Redis LangCache
+alwaysopen: false
+categories:
+- docs
+- develop
+- ai
+description: Redis LangCache provides semantic caching-as-a-service to reduce LLM costs and improve response times for AI applications.
+linkTitle: LangCache
+weight: 30
+---
+
+Redis LangCache is a fully-managed semantic caching service that reduces large language model (LLM) costs and improves response times for AI applications.
+
+## How LangCache works
+
+LangCache uses semantic caching to store and reuse previous LLM responses for similar queries. Instead of calling the LLM for every request, LangCache:
+
+- **Checks for similar cached responses** when a new query arrives
+- **Returns cached results instantly** if a semantically similar response exists
+- **Stores new responses** for future reuse when no cache match is found
+
+## Key benefits
+
+### Cost reduction
+LangCache significantly reduces LLM costs by eliminating redundant API calls. Since up to 90% of LLM requests are repetitive, caching frequently-requested responses provides substantial cost savings.
+
+### Improved performance
+Cached responses are retrieved from memory, providing response times up to 15 times faster than LLM API calls. This improvement is particularly beneficial for retrieval-augmented generation (RAG) applications.
+
+### Simple deployment
+LangCache is available as a managed service through a REST API. The service includes:
+
+- Automated embedding generation
+- Configurable cache controls
+- Simple billing structure
+- No database management required
+
+### Advanced cache management
+The service provides comprehensive cache management features:
+
+- Data access and privacy controls
+- Configurable eviction protocols
+- Usage monitoring and analytics
+- Cache hit rate tracking
+
+## Use cases
+
+### AI assistants and chatbots
+Optimize conversational AI applications by caching common responses and reducing latency for frequently asked questions.
+
+### RAG applications
+Improve retrieval-augmented generation performance by caching responses to similar queries, reducing both cost and response time.
+
+### AI agents
+Enhance multi-step reasoning chains and agent workflows by caching intermediate results and common reasoning patterns.
+
+### AI gateways
+Integrate LangCache into centralized AI gateway services to manage and control LLM costs across multiple applications.
+
+## Getting started
+
+LangCache is currently available through a private preview program. The service is accessible via REST API and supports any programming language.
+
+### Prerequisites
+
+To use LangCache, you need:
+
+- An AI application that makes LLM API calls
+- A use case involving repetitive or similar queries
+- Willingness to provide feedback during the preview phase
+
+### Access
+
+LangCache is offered as a fully-managed cloud service. During the private preview:
+
+- Participation is free
+- Usage limits may apply
+- Dedicated support is provided
+- Regular feedback sessions are conducted
+
+## Data security and privacy
+
+LangCache stores your data on your Redis servers. Redis does not access your data or use it to train AI models. The service maintains enterprise-grade security and privacy standards.
+
+## Support
+
+Private preview participants receive:
+
+- Dedicated onboarding resources
+- Documentation and tutorials
+- Email and chat support
+- Regular check-ins with the product team
+- Exclusive roadmap updates
+
+For more information about joining the private preview, visit the [Redis LangCache website](https://redis.io/langcache/).

content/develop/ai/langcache/_index.md

@@ -38,7 +38,7 @@ If you'd like to use triggers and functions with a [Flexible subscription]({{< r
 For more information about triggers and functions, see the [triggers and functions documentation]({{< relref "/operate/oss_and_stack/stack-with-enterprise/deprecated-features/triggers-and-functions/" >}}).
 
 {{< note >}}
-Triggers and functions is discontinued as of [May 2024]({{< relref "/operate/rc/changelog/2024/may-2024" >}}).
+Triggers and functions is discontinued as of [May 2024]({{< relref "/operate/rc/changelog/may-2024" >}}).
 {{< /note >}}
 
 ### Maintenance windows