Tailwinds - The UI for AI
  • Welcome to Tailwinds
    • Chatflows
      • LangChain
        • Agents
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        • Chains
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          • LLM Chain
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        • Chat Models
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        • Document Loaders
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          • Json File
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          • Notion Database
          • Notion Folder
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          • PDF Files
          • Plain Text
          • Playwright Web Scraper
          • Puppeteer Web Scraper
          • AWS S3 File Loader
          • SearchApi For Web Search
          • SerpApi For Web Search
          • Spider Web Scraper/Crawler
          • Text File
          • Unstructured File Loader
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          • VectorStore To Document
        • Embeddings
          • AWS Bedrock Embeddings
          • Azure OpenAI Embeddings
          • Cohere Embeddings
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          • Google PaLM Embeddings
          • Google VertexAI Embeddings
          • HuggingFace Inference Embeddings
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        • LLMs
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          • Azure OpenAI
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          • GoogleVertex AI
          • HuggingFace Inference
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        • Moderation
          • OpenAI Moderation
          • Simple Prompt Moderation
        • Output Parsers
          • CSV Output Parser
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        • Prompts
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        • Record Managers
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          • Similarity Score Threshold Retriever
          • Vector Store Retriever
          • Voyage AI Rerank Retriever
        • Text Splitters
          • Character Text Splitter
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          • Token Text Splitter
        • Tools
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        • Vector Stores
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      • LlamaIndex
        • Agents
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        • Chat Models
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          • ChatGroq
        • Embeddings
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          • OpenAI Embedding
        • Engine
          • Query Engine
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        • Tools
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        • Vector Stores
          • Pinecone
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    • Agentflows
      • Multi-Agents (Supervisor/Worker)
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    • API
      • Chatflows and APIs
    • Document Stores
    • Embed
      • Rate Limit
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    • Analytics
    • Credentials
      • Amazon Bedrock Credential Setup
      • IBM Watsonx.AI Credential Setup
    • Variables
    • Utilities
      • Custom JS Function
      • Set/Get Variable
      • If Else
      • Sticky Note
    • Example Flows
      • Calling Children Flows
      • Calling Webhook
      • Interacting with API
      • Multiple Documents QnA
      • SQL QnA
      • Upserting Data
      • Web Scrape QnA
    • Monitoring & Auditing
      • Configuring Monitoring and Traces
    • Tailwinds Security and Deployment
  • Release Notes
    • 12/17/2024 - v2.2.1
    • 10/11/2024 - v2.1.2
    • 9/27/2024- v2.1
    • 8/16/2024 - v2.0.5
  • Demos and Use-cases
    • Create a Basic Chatbot
    • Build an AI-Powered Translator
    • Create research-powered call scripts
    • Extract information from Medical Documents
    • Identify ICD10 medical codes
  • GenAI University
    • Syllabus
    • 101-Prompt Engineering
    • 101-System Prompts
    • 101-Human (User) Prompts
    • 101-Context Window
    • 101-Prompt Chains
    • 201-Documents and Vector Databases (RAG)
    • 301-AI Agents
    • 301-Agent Tools
    • 401-Multi-Agent
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On this page
  • Prerequisites
  • Setup
  • Enable vertex AI API
  • Create credential file (Optional)
  • No. 1 : Use GCP CLI
  • No. 2 : Use GCP console
  • Tailwinds
  • Without credential file
  • With credential file
  • Resources

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  1. Welcome to Tailwinds
  2. Chatflows
  3. LangChain
  4. Chat Models

Google VertexAI

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Last updated 10 months ago

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Prerequisites

  1. Install the

Setup

Enable vertex AI API

  1. Go to Vertex AI on GCP and click "ENABLE ALL RECOMMENDED API"

Create credential file (Optional)

There are 2 ways to create credential file

No. 1 : Use GCP CLI

  1. Open terminal and run the following command

gcloud auth application-default login
  1. Login to your GCP account

  2. Check your credential file. You can find your credential file in ~/.config/gcloud/application_default_credentials.json

No. 2 : Use GCP console

  1. Go to GCP console and click "CREATE CREDENTIALS"

  1. Create service account

  1. Fill in the form of Service account details and click "CREATE AND CONTINUE"

  2. Select proper role (for example Vertex AI User) and click "DONE"

  1. Click service account that you created and click "ADD KEY" -> "Create new key"

  1. Select JSON and click "CREATE" then you can download your credential file

Tailwinds

Without credential file

If you are using a GCP service like Cloud Run, or if you have installed default credentials on your local machine, you do not need to set this credential.

With credential file

  1. Go to Credential page on Tailwinds and click "Add credential"

  2. Click Google Vertex Auth

  1. Register your credential file. There are 2 ways to register your credential file.

  • Option 1 : Enter path of your credential file

    • If you have credential file on your machine, you can enter the path of your credential file into Google Application Credential File Path

  • Option 2 : Paste text of your credential file

    • Or you can copy all text in the credential file and paste it into Google Credential JSON Object

  1. Finally, click "Add" button.

  2. 🎉You can now use ChatGoogleVertexAI with the credential in Tailwinds now!

Resources

LangChain JS GoogleVertexAI
Google Service accounts overview
Start your GCP
Google Cloud CLI