Your Knowledge Base just got a major upgrade. With our new LLM chunking strategies, you can now prep your data for AI like a pro—no manual formatting needed.

We’ve introduced 5 powerful strategies to help structure and optimize your content for maximum retrieval performance:

🧠 Smart chunking
Automatically breaks content into logical, topic-based sections. Ideal for complex documents with multiple subjects.

❓ FAQ optimization
Generates sample questions per section, perfect for creating high-impact FAQs.

🧹HTML & noise removal
Cleans up messy website markup and boilerplate. Best used on content pulled from the web or markdown.

📝Add topic headers
Inserts short, helpful summaries above each section. Great for longform content that needs context.

🔍 Summarize
Distills each section to its key points, removing fluff. Perfect for dense reports or research.

These chunking strategies help you get more accurate, more relevant answers from your AI—especially for data sources not originally built for Retrieval-Augmented Generation (RAG).

Ready to make your Knowledge Base smarter? Try out some LLM chunking strategies and watch the results speak for themselves.

Note - LLM chunking strategies use credits. Before processing, we’ll show you a clear estimate of how many credits will be used—so you’re always in control.

Connect your agents to Make.com with a couple clicks to run your automations from your Voiceflow AI agents.

Connect your agents to Airtable with a couple clicks. Supported tools include: Create records, Delete records, Get record, List records, Update records.

By enabling these options and providing guidance on when to use (or avoid) each special tool, your agent will intelligently enhance interactions with visual tools like buttons, cards, and carousels.

Note: these configurations are ignored during phone-based conversations, meaning it will not prohibit your ability to create multi-modal AI agents with Voiceflow.

Legacy log traces are no longer supported, which are sent when with the query parameter ?log=true.
This system has not been updated for a significant period and is out of date, especially with new steps.

log traces will no longer be returned, after Friday, July 4th, 2025.

This affects a small subset of users and should not impact the output or performance of an agent.

Going forward, it will be unified with a more robust debug trace system, along with a new debugger UI.

• Added Cartesia's Ink-Whisper STT model
  • This leverages OpenAI's whisper model, upgraded for realtime call performance
  • Expanded language support and selection
• Added AssemblyAI Universal STT model
  • Advanced tuning options
• Added specific model selection for Deepgram STT
  • Nova-2, Nova-3, and Nova-3 Medical

Connect your agents to Google Sheets with a couple clicks. Supported tools include: Add to sheet, Create new sheet, Get rows, Get sheet, Update sheet.

We've added Cartesia to Voiceflow. You can select from over 100 new voices across two Cartesia models (Sonic 2 & Sonic Turbo).

We've added all tool types to your projects analytics dashboard:

• Integration tools
• API tools
• Function tools

You can now see the number of times each tool has been used, along with the average latency and success/failure rate if you hover a specific tool.

• We've made updates to the workspace dashboard to make it easier to organize your projects, and manage your workspace.
• We've added folders, to further organize your projects. Note, if you previously used the Kanban view (deprecated), we've automatically converted swim-lanes into folders.
• Home tab (coming soon)
• Community tab (coming soon)
• Tutorials tab (coming soon)