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Last update : 17/10/2024

🚀 Supercharge Your FlowiseAI Document Stores: An Automation Adventure! 🤖

Ever wished your AI chatbot could keep its knowledge fresh without manual updates? 🤔 This is your backstage pass to building a self-updating AI business directory using FlowiseAI, Airtable, and the magic of automation! ✨

🗺️ Setting the Stage: Why This Matters

Imagine a traditional business directory – outdated the moment it’s printed! 😩 In our digital world, information changes constantly. This is where dynamic document stores swoop in to save the day! 🦸‍♀️🦸‍♂️

🤖 Building Your AI-Powered Business Directory

1️⃣ Crafting the Chatbot Brain 🧠

  • Platform: FlowiseAI (cloud or local – your choice!)
  • Agent: The trusty Tool Agent node is our foundation.
  • AI Model: ChatOpenAI (or explore free options like GrokChat!). Remember to fine-tune that temperature! 😉
  • Memory: The Buffer Memory node helps our chatbot remember past interactions.
  • Tools: The Retriever Tool connects our chatbot to the knowledge base.
  • Vector Store: The Document Store node is where we’ll store and manage our business listings.

Pro Tip: Craft a clear and concise system prompt for your chatbot. This is like giving it a cheat sheet for success! 🤫

2️⃣ Storing the Knowledge: Airtable to the Rescue!

  • Airtable Setup: Create a workspace, a table named “Listings,” and add columns for business name, address, contact details, description, etc.
  • Data Import: Download the sample CSV file (link in the resource toolbox!) and import it into your Airtable table.

3️⃣ FlowiseAI Document Store: Your Data’s New Home

  • Create a Document Store: Head over to FlowiseAI and create a new document store for your business directory.
  • Add a Document Loader: Connect your Airtable base to FlowiseAI using the Airtable document loader.
  • Configure Embeddings: Choose OpenAI embeddings and select the appropriate model.
  • Vector Store Setup: Set up Pinecone as your vector store and configure the index.
  • Record Manager: Enable the Postgres record manager to prevent duplicates and keep your data squeaky clean! ✨

🔄 The Automation Symphony: Keeping Things Fresh with n8n

1️⃣ Introducing n8n: Your Automation Maestro

  • Installation: Get n8n up and running on your local machine or in the cloud.
  • Workflow Creation: Create a new workflow for your AI business directory automation.

2️⃣ Triggering the Magic: It’s All About Timing

  • Schedule Node: Use the “Cron” schedule node to trigger the workflow at regular intervals (e.g., every 6 hours).

3️⃣ Fetching Document Store Details

  • HTTP Request Node: Make a GET request to the FlowiseAI API endpoint to retrieve document store details. Don’t forget your API key! 🔑

4️⃣ Extracting Document Loaders

  • Set Node: Use the set node to extract the document loaders from the API response.

5️⃣ Processing and Upserting Data

  • Loop Over Items Node: Loop through each document loader and process the chunks.
  • Wait Node: Add a wait node to allow time for asynchronous processing.
  • HTTP Request Node (Upsert): Make a POST request to the FlowiseAI API endpoint to upsert the processed data into the vector store.

🏆 Pro Tip: Filtering for Efficiency

  • Filter Node: Filter out static document loaders that don’t require frequent updates.

🎉 Enjoy Your Self-Updating AI Business Directory!

You did it! 🥳 You’ve built an AI-powered business directory that updates automatically, keeping your users informed and your chatbot’s knowledge fresh.

🧰 Resource Toolbox

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