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RAG & Knowledge Bases

Travel Assistant Agent with Gemini and MongoDB Vector Search

When a chat message or webhook arrives, a Gemini agent with MongoDB memory searches a MongoDB Atlas vector store and answers travel questions.

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What it does

# Travel AssistantAgent ## Overview Automated workflow: Travel AssistantAgent. This workflow integrates 11 different services: webhook, stickyNote, textSplitterRecursiveCharacterTextSplitter, lmChatGoogleGemini, agent. It contains 19 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 19 - Node Types: 11 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - When chat message received: chatTrigger - MongoDB Chat Memory: memoryMongoDbChat - Google Gemini Chat Model: lmChatGoogleGemini - MongoDB Atlas Vector Store: vectorStoreMongoDBAtlas - Embeddings OpenAI: embeddingsOpenAi - Sticky Note: stickyNote - AI Traveling Planner Agent: agent - Webhook: webhook - Default Data Loader: documentDefaultDataLoader - Recursive Character Text Splitter: textSplitterRecursiveCharacterTextSplitter - ... and 9 more nodes ## Usage Instructions 1. Configure Credentials: Set up all required API keys and credentials 2. Update Variables: Replace any placeholder values with actual data 3. Test Workflow: Run in test mode to verify functionality 4. Deploy: Activate the workflow for production use ## Security Notes - All sensitive data has been removed or replaced with placeholders - Error handling is implemented for reliability - Follow security best practices when configuring credentials ## Troubleshooting - Check error logs if workflow fails - Verify all credentials are properly configured - Ensure all required services are accessible

The steps

  1. When chat message received
  2. MongoDB Chat Memory
  3. Google Gemini Chat Model
  4. MongoDB Atlas Vector Store
  5. Embeddings OpenAI
  6. AI Traveling Planner Agent
  7. Webhook
  8. Default Data Loader
  9. Recursive Character Text Splitter
  10. MongoDB Atlas Vector Store1
  11. Embeddings OpenAI1
  12. Error Handler
  13. Error Handler for eaba53fd
  14. Error Handler for 17f2e6f3

24 steps in total.

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