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Updated Temporal docs.
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docs/maap-docs/docs/quick-starts/quickstarts/temporal.md

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# Temporal
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# MongoDB - Temporal Quickstart
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The MongoDB - Temporal Quickstart is an integrated end-to-end AI application framework that combines MongoDB Atlas, Amazon Bedrock, and Temporal Workflow technology. The system provides a conversational AI interface with advanced memory capabilities, semantic caching, and robust document processing abilities.
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The system consists of the following microservices:
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1. **Host Service**: The central coordinator that manages the UI and workflow orchestration
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2. **AI Memory Service**: Provides conversation history and memory functions
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3. **Semantic Cache Service**: Caches AI responses for similar queries
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4. **Data Loader Service**: Ingests and processes documents and web content
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5. **Event Logger Service**: Centralized logging service
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6. **Temporal Service**: Workflow orchestration and execution
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1. **Host Service**: The central coordinator that manages the UI and workflow orchestration (Port 7860)
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2. **AI Memory Service**: Provides conversation history and memory functions (Port 8182)
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3. **Semantic Cache Service**: Caches AI responses for similar queries (Port 8183)
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4. **Data Loader Service**: Ingests and processes documents and web content (Port 8184)
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5. **Event Logger Service**: Centralized logging service (Port 8181)
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6. **Temporal Service**: Workflow orchestration and execution (Port 7233 & 8080)
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### 2.2 Integration Points
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- **MongoDB Atlas**: Vector database for storing embeddings, documents, and conversational data
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- **Amazon Bedrock**: Provides AI capabilities through Claude and Titan models
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- **Temporal**: Workflow orchestration system for reliable workflow execution
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- **MongoDB Atlas**: Vector database for storing embeddings, documents, and conversational data (Ports 27015 to 27017 (TCP))
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- **Amazon Bedrock**: Provides AI capabilities through Claude and Titan models (Port 443)
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- **Temporal**: Workflow orchestration system for reliable workflow execution (Port 7233 & 8080)
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- **Docker & Containers**: All services are containerized for deployment
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## 3. Services in Detail

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