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integration Groq Chat Model node

Integrate Groq Chat Model with 500+ apps and services

Unlock Groq Chat Model’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 Groq Chat Model and your stack. All within a building experience you will love.

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Popular ways to use Groq Chat Model integration

Telegram node
Telegram Trigger node
+9

Telegram chat with PDF

What this template does This template serves as a Chatbot that enables you to ask questions about the content of a PDF directly in Telegream. It checks incoming Telegram messages if they contain a document. If they do, it stores the PDF in a Pinecone Vector store. If there's no document, it will search the Vector Store for information and try to answer your question. Setup Open the Telegram app and search for the BotFather user (@BotFather) Start a chat with the BotFather Type /newbot to create a new bot Follow the prompts to name your bot and get a unique API token Save your access token and username Once you set your bot, you can send the pdf, and then ask questions about the content. How to adjust it to your needs You can exchange the Groq chat model with any model that you like Exchange Pinecone with any other vector store tool you like (e.g. Supabase, Postgres or QDrant) #Telegram, #Pinecone, #Openai, #GroQ
felipecataneo
felipe biava cataneo
Google Sheets node
Merge node
+8

Extract spending history from gmail to google sheet

How it works Fetch transaction notification emails (including attachments) Clean up data Let AI (Basic LLM Chain node) generate bookkeeping item Send to Google sheet Details The example fetch email from Gmail lables, suggested using filters to automatically orgianize email into the labels Data will send to "raw data" sheet Example google sheet: https://docs.google.com/spreadsheets/d/1_IhdHj8bxtsfH2MRqKuU2LzJuzm4DaeKSw46eFcyYts/edit?gid=1617968863#gid=1617968863
hanamizuki
hana
Google Sheets node
Redis node
Webhook node
+11

Conversational Interviews with AI Agents and n8n Forms

This n8n template combines an AI agent with n8n's multi-page forms to create a novel interaction which allows automated question-and-answer sessions. One of the more obvious use-cases of this interaction is what I'm calling the AI interviewer. You can read the full post here: https://community.n8n.io/t/build-your-own-ai-interview-agents-with-n8n-forms/62312 Live demo here: https://jimleuk.app.n8n.cloud/form/driving-lessons-survey How it works A form trigger is used to start the interview and a new session is created in redis to capture the transcript. An AI agent is then tasked to ask questions to the user regarding the topic of the interview. This is setup as a loop so the questions never stop unless the user wishes to end the interview. Each answer is recorded in our session set up earlier between questions. When the user requests to end the interview we break the loop and show the interview completion screen. Finally, the session is then saved in a Google Sheet which can then be shared with team members and for the purpose of data analysis. How to use You'll need to be on a n8n instance that is accessible to your target audience. Not technical enough to setup your own server? Try out n8n cloud and instantly deploy template! Remember to activate the workflow so the form trigger is published and available for users to use. Requirements Groq LLM for AI agent. Feel free to swap this out for any other LLM. Redis(-compatible) storage for capturing sessions Customising this workflow The next step would be adding tools! AI interviews with knowledge retrieval could definitely open up other possibilities. Eg. An onboarding wizard generating questions by pulling facts from internal knowledgebase.
jimleuk
Jimleuk
Groq Chat Model node

About Groq Chat Model

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FAQ about Groq Chat Model integrations

  • How can I set up Groq Chat Model integration in n8n?

      To use Groq Chat Model integration in n8n, start by adding the Groq Chat Model node to your workflow. You'll need to authenticate your Groq Chat Model 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: make sure to configure the necessary parameters for your chosen action to ensure proper communication with the Groq Chat Model. Additionally, you can set up triggers based on your workflow needs to automate interactions seamlessly. Finally, test your workflow thoroughly to verify that the integration works as expected.

  • Do I need any special permissions or API keys to integrate Groq Chat Model with n8n?

  • Can I combine Groq Chat Model with other apps in n8n workflows?

  • What are some common use cases for Groq Chat Model integrations with n8n?

  • How does n8n’s pricing model benefit me when integrating Groq Chat Model?

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