Part 27: Chatting with Your Documents: Using Siri as a Voice Interface for No-Code Applications
Extras: Connecting Flowise and LangFlow to External App Builders and UIs

In an era where technology continuously evolves to become more intuitive and user-friendly, the integration of voice-based interfaces into applications is becoming increasingly popular. One intriguing use case is employing Siri as a voice chat interface to interact with documents and data. This blog post will guide you through the process of using Siri in conjunction with a no-code tool to create a conversational interface for your documents.
Setting Up Your No-Code Application
To begin, you'll need to configure a no-code tool like Flowwise to manage and process your documents. Flowwise offers a user-friendly platform to create flows for document management without requiring any programming skills. Start by setting up two essential flows: the "upsert" flow and the "load" flow.
Upsert Flow
Document Upload: Use the upsert flow to upload documents, whether they are text files or PDFs, into the system.
Data Processing: The flow uses a recursive character text splitter to break down documents into manageable chunks, which are then embedded using a multilingual embeddings API like Cohere.
Storage: These embeddings are stored in a vector database like Pinecone, configured to handle the specific dimensions of the embeddings.
Load Flow
Retrieve Data: The load flow retrieves the embeddings from the vector database, making them available for interaction.
Consistent Embeddings: Ensure that the same embedding model is used for both upserting and loading to maintain consistency.
Integrating Siri as a Voice Interface
To use Siri as a voice interface for your no-code application, you'll need to leverage an app like Shortcuts, available on both Mac and iPhone. This app allows you to create custom shortcuts that can interact with your application via API calls.
Creating a Siri Shortcut
Set Up Shortcuts: Open the Shortcuts app and create a new shortcut for your application.
Capture User Input: Use the "Ask for Input" block to capture what the user wants to learn from their documents.
API Call Configuration: Use the "Get Contents of URL" block to make a POST API call to your no-code application, sending the user's query as a parameter.
Display Results: Utilize the "Show Result" block to display the response from the API call, providing the user with the information they requested.
Looping Interaction: Implement a loop within the shortcut to allow for continuous interaction. Use conditional blocks to determine when the loop should end, such as when the user says "thanks."
Testing and Deployment
After setting up the shortcut, test it by asking questions about your documents. Ensure that the Siri interface correctly processes and responds to these queries through your no-code application. Once satisfied with the functionality, deploy the shortcut for regular use.
Conclusion
Integrating Siri as a voice interface with your no-code application opens up new possibilities for user interaction. This setup not only makes your applications more accessible but also adds a layer of sophistication by enabling voice-driven queries. As no-code platforms and voice technologies continue to evolve, this integration can be a valuable asset for both personal and professional use cases. Whether you're managing documents or creating complex applications, voice interfaces like Siri can enhance the way users interact with technology, making it more natural and intuitive.
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