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Travel planning agent with Couchbase vector search, Gemini 2.0 Flash and OpenAI

by Elliot Scribneradapted from n8n official workflow galleryUpdated Aug 2026
RequiresAAI AgentDDefault Data LoaderEmbeddings OpenAIEmbeddings OpenAIGoogle Gemini Chat ModelRecursive Character Text SplitterRecursive Character Text SplitterSSimple Memory
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ChWhen chat message receivedWhen chat messa…Google Gemini Chat ModelGoogle Gemini C…WeWebhookDDDefault Data LoaderDefault Data Lo…TSRecursive Character Text SplitterRecursive Chara…MBSimple MemoryAgAI Travel AgentVSRetrieve docs with Couchbase Search VectorRetrieve docs w…VSInsert docs with Couchbase Search VectorInsert docs wit…Generate OpenAI Embeddings using text-embedding-3-smallGenerate OpenAI…Generate OpenAI Embeddings using text-embedding-3-small1Generate OpenAI…12345
1/5
FLOWS
STEPS · 5
Starts from a chat message

> Disclaimer: this workflow template uses the n8n-nodes-couchbase community package. Community nodes are unverified and usage of them comes with some risks. See here for instructions on installing n8n community nodes. This template is intended for use by those interested in learning more about Agentic AI workflow development, as well as those interested in learning how to use the Couchbase Search Vector Store node for practical applications. This workflow helps users decide on travel destinations based on descriptions of several points of interest loaded into Couchbase and retrieved using Vector Search. How it Works This template contains two workflows: The Data Ingestion workflow uses the following nodes Webhook node (to listen for HTTP requests) OpenAI Embeddings node (to generate embeddings on document insertion) Note: You’ll need to configure OpenAI credentials for this node Couchbase Vector node (configured for document insertion) Default Data Loader and Recursive Character Text Splitter The Chat Application workflow uses the following nodes Chat Trigger node AI Tools Agent node connect to: Gemini (as the Chat Model, for generating responses) Note: You will have to configur

Tags

n8nreference-onlyagentdocument-default-data-loaderembeddings-open-ailm-chat-google-geminimemory-buffer-windowtext-splitter-recursive-character-text-splitter
Connects
AAI AgentDDefault Data LoaderembeddingsopenaiEmbeddings OpenAIGoogle Gemini Chat ModelrecursivecharactertextsplitterRecursive Character Text SplitterSSimple Memory
CategoryAI Automation
Triggermanual
Complexitycomplex
Nodes11
AddedMay 5, 2025

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