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Integrate Text Classifier with 500+ apps and services

Unlock Text Classifier’s full potential with n8n, connecting it to similar AI apps and over 1000 other services. Automate AI workflows by integrating, training, and deploying models across various platforms. Create adaptable and scalable workflows between Text Classifier and your stack. All within a building experience you will love.

Create workflows with Text Classifier integrations

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Popular ways to use Text Classifier integration

Notion node
Code node
+6

Notion AI Assistant Generator

This n8n workflow template lets teams easily generate a custom AI chat assistant based on the schema of any Notion database. Simply provide the Notion database URL, and the workflow downloads the schema and creates a tailored AI assistant designed to interact with that specific database structure. Set Up Watch this quick set up video 👇 Key Features Instant Assistant Generation**: Enter a Notion database URL, and the workflow produces an AI assistant configured to the database schema. Advanced Querying**: The assistant performs flexible queries, filtering records by multiple fields (e.g., tags, names). It can also search inside Notion pages to pull relevant content from specific blocks. Schema Awareness**: Understands and interacts with various Notion column types like text, dates, and tags for accurate responses. Reference Links**: Each query returns direct links to the exact Notion pages that inform the assistant’s response, promoting transparency and easy access. Self-Validation**: The workflow has logic to check the generated assistant, and if any errors are detected, it reruns the agent to fix them. Ideal for Product Managers**: Easily access and query product data across Notion databases. Support Teams**: Quickly search through knowledge bases for precise information to enhance support accuracy. Operations Teams**: Streamline access to HR, finance, or logistics data for fast, efficient retrieval. Data Teams**: Automate large dataset queries across multiple properties and records. How It Works This AI assistant leverages two HTTP request tools—one for querying the Notion database and another for retrieving data within individual pages. It’s powered by the Anthropic LLM (or can be swapped for GPT-4) and always provides reference links for added transparency.
max-n8n
Max Tkacz
Slack node
Jira Software node
+10

Automate Customer Support Issue Resolution using AI Text Classifier

This n8n template is designed to assist and improve customer support team member capacity by automating the resolution of long-lived and forgotten JIRA issues. How it works Schedule Trigger runs daily to check for long-lived unresolved issues and imports them into the workflow. Each Issue is handled as a separate subworkflow by using an execute workflow node. This allows parallel processing. A report is generated from the issue using its comment history allowing the issue to be classified by AI - determining the state and progress of the issue. If determined to be resolved, sentiment analysis is performed to track customer satisfaction. If negative, a slack message is sent to escalate, otherwise the issue is closed automatically. If no response has been initiated, an AI agent will attempt to search and resolve the issue itself using similar resolved issues or from the notion database. If a solution is found, it is posted to the issue and closed. If the issue is blocked and waiting for responses, then a reminder message is added. How to use This template searches for JIRA issues which are older than 7 days which are not in the "Done" status. Ensure there are some issues that meet this criteria otherwise adjust the search query to suit. Works best if you frequently have long-lived issues that need resolving. Ensure the notion tool is configured as to not read documents you didn't intend it to ie. private and/or internal documentation. Requirements JIRA for issues management OpenAI for LLM Slack for notifications Customising this workflow Why not try classifying issues as they are created? One use-case may be for quality control such as ensuring reporting criteria is adhered to, summarising and rephrasing issue for easier reading or adjusting priority.
jimleuk
Jimleuk
HTTP Request node
Slack node
Webhook node
+17

Advanced AI Demo (Presented at AI Developers #14 meetup)

This workflow was presented at the AI Developers meet up in San Fransico on 24 July, 2024. AI workflows Categorize incoming Gmail emails and assign custom Gmail labels. This example uses the Text Classifier node, simplifying this usecase. Ingest a PDF into a Pinecone vector store and chat with it (RAG example) AI Agent example showcasing the HTTP Request tool. We teach the agent how to check availability on a Google Calendar and book an appointment.
max-n8n
Max Tkacz

About Text Classifier

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FAQ about Text Classifier integrations

  • How can I set up Text Classifier integration in n8n?

      To use Text Classifier integration in n8n, start by adding the Text Classifier node to your workflow. You'll need to authenticate your Text Classifier account using supported authentication methods. Once connected, you can choose from the list of supported actions or make custom API calls via the HTTP Request node, for example: you can customize the parameters based on your classification needs and map the data inputs according to your workflow's requirements. Make sure to test the integration with sample data to ensure everything is functioning correctly. Once set up, you can seamlessly automate your text classification processes within n8n.

  • Do I need any special permissions or API keys to integrate Text Classifier with n8n?

  • Can I combine Text Classifier with other apps in n8n workflows?

  • What are some common use cases for Text Classifier integrations with n8n?

  • How does n8n’s pricing model benefit me when integrating Text Classifier?

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