Visa Requirement Checker

Name: Visa Requirement Checker
Rating: 5 (5 reviews)
Author: Free N8N

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24 nodes connected

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AI & Machine LearningAIAnthropicAutomationCohereLangchainVisaWeaviateWebhook

A workflow to check visa requirements based on user input, leveraging Langchain, Cohere embeddings, Weaviate vector store, and Anthropic LLM.

About This Workflow

This workflow automates the process of checking visa requirements. It receives input via a webhook, processes the information using Langchain, stores and retrieves relevant data from a Weaviate vector store, and generates an answer using an Anthropic language model. The results are logged to a Google Sheet.

Key Features

Webhook Integration: Accepts visa requirement queries via an HTTP POST request.
Text Splitting: Divides incoming text into manageable chunks for processing.
AI Embeddings: Utilizes Cohere for generating embeddings to represent text semantically.
Vector Store: Stores and queries visa-related information efficiently using Weaviate.
Conversational AI: Employs Anthropic's language model for natural language understanding and response generation.
Tool Integration: Connects the vector store as a tool for the AI agent.
Memory Management: Maintains conversational context with a buffer window.
Agentic Behavior: Orchestrates the interaction between tools, memory, and the language model.
Logging: Records workflow execution and results to a Google Sheet.

How To Use

Trigger: Send a POST request to the /visa_requirement_checker webhook endpoint with the query.
Processing: The Splitter node will chunk the input.
Embedding & Storage: EmbeddingsCohere generates embeddings, and vectorStoreWeaviate (Insert mode) stores them in the 'visa_requirement_checker' index.
Querying: vectorStoreWeaviate (Query mode) retrieves relevant information based on the input.
Tooling: The retrieved vector store data is exposed as a tool (ToolVectorStore).
Memory: MemoryBufferWindow maintains conversation history.
LLM Interaction: lmChatAnthropic generates a response using the tools and memory.
Agent Orchestration: The Agent node directs the flow, utilizing the tools and memory to answer the query.
Logging: The final output is appended to the 'Log' sheet in the specified Google Sheet.

Apps Used

Anthropic

Automation

Cohere

Langchain

Visa

Weaviate

Webhook

Workflow JSON

{
  "id": "0747a965-07f1-442e-82f6-127381cb8087",
  "name": "Visa Requirement Checker",
  "nodes": 24,
  "category": "AI & Machine Learning",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.