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Fix links for Context Retriever in documentation
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content/develop/ai/context-engine/_index.md

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@@ -15,7 +15,7 @@ Context engine includes four services:
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- **[LangCache]({{< relref "/develop/ai/context-engine/langcache" >}})**: A semantic caching service that stores and reuses LLM responses for similar queries, reducing API costs and improving response latency.
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- **[Agent Memory]({{< relref "/develop/ai/context-engine/agent-memory" >}})**: A persistent memory service that maintains short-term session memory and long-term memory across agent interactions.
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- **[Context Retriever](#context-retriever)**: Turns your business data into structured tools that AI agents can safely and reliably use, defined once and reused across all agents.
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- **[Context Retriever]({{< relref "/develop/ai/context-engine/context-retriever" >}})**: Turns your business data into structured tools that AI agents can safely and reliably use, defined once and reused across all agents.
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- **[Data integration]({{< relref "/develop/ai/context-engine/data-integration" >}})**: Syncs live data from your existing relational databases into Redis Cloud so agents always have access to fresh, accurate business data.
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All four services are available on [Redis Cloud]({{< relref "/operate/rc/context-engine" >}}) using the REST API, with no database setup or management required.
@@ -61,7 +61,7 @@ You define your data model once, specifying the entities that matter (such as cu
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- **Controlled access**: Each agent requires a key, and access tags automatically filter what data each agent can see.
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- **Governed by design**: Agents can only use tools that have been explicitly defined, with no direct database access.
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[Get started with Context Retriever](#) <!-- link to be added -->
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[Get started with Context Retriever]({{< relref "/develop/ai/context-engine/context-retriever" >}})
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## Data integration
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