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RAG & Knowledge Bases

Travel Planning Agent with Couchbase Vector Search and Gemini

When a chat message or webhook arrives, a Gemini agent searches a Couchbase vector store of travel data and builds trip plans.

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What it does

# Travel Planning Agent with Couchbase Vector Search, Gemini 2.0 Flash and OpenAI ## Overview Automated workflow: Travel Planning Agent with Couchbase Vector Search, Gemini 2.0 Flash and OpenAI. This workflow integrates 11 different services: webhook, stickyNote, textSplitterRecursiveCharacterTextSplitter, vectorStoreCouchbaseSearch, lmChatGoogleGemini. It contains 18 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 18 - Node Types: 11 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - When chat message received: chatTrigger - Google Gemini Chat Model: lmChatGoogleGemini - Sticky Note: stickyNote - Webhook: webhook - Default Data Loader: documentDefaultDataLoader - Recursive Character Text Splitter: textSplitterRecursiveCharacterTextSplitter - Sticky Note1: stickyNote - Simple Memory: memoryBufferWindow - AI Travel Agent: agent - Retrieve docs with Couchbase Search Vector: vectorStoreCouchbaseSearch - ... and 8 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. Google Gemini Chat Model
  3. Webhook
  4. Default Data Loader
  5. Recursive Character Text Splitter
  6. Simple Memory
  7. AI Travel Agent
  8. Retrieve docs with Couchbase Search Vector
  9. Insert docs with Couchbase Search Vector
  10. Generate OpenAI Embeddings using text-embedding-3-small
  11. Generate OpenAI Embeddings using text-embedding-3-small1
  12. Error Handler
  13. Error Handler for e8b9815d
  14. Error Handler for 34866f8e

24 steps in total.

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