Introducing Tabular Data Support | June Feature Releases

Voiceflow · Beginner ·📰 AI News & Updates ·2y ago

Key Takeaways

Voiceflow introduces tabular data support and API for uploading JSON data, enhancing AI agent control and query filtering, with testimonials from Powerful Commerce and Fast Brand Technologies, and updates on model improvements and new features.

Full Transcript

[Music] hi this is Aram from voice flow this month we launch an API for uploading tabular Json data using this new functionality you can specify which field should be searchable and which field should be used as additional met information that you will see in the document chunk response initially the API was available for closed better group but now it's a feature in a general availability stage let's try and give your feedback I'm one of the co-founders of powerful Commerce we're an agency that helps amazing Brands build e-commerce websites on Shopify so we actually built a connector that connects Shopify to voice flow so we vectorize the whole database and turn it into a flat Json file it's fantastic because with Json you can have searchable and non- searchable Fields non searchable and meta Fields so it makes um the AI way more efficient for looking through huge amounts of data uh the convers are more relevant and the results are more relevant as well so having Json is just a huge jump in terms of what we can offer over like PDFs or we documents everyone this is Paul from Fast brand Technologies using the Json knowledge based feature we've built an easyto use training component for our customers which covers any use case in any industry uh this component enables our customers to add their corporate knowledge and products into a single data set which is then optimized for improved responses and R responses uh if you're interested in checking us out go to fast brand. hi it's Anna from voiceflow we're excited to announce that anthropic latest model plot 3.5 Sonet is now available to use in BO flow we're excited to see what you built with it hey it's Kes from Bo flow I'm a co-op student on the ml team and our team's been hard at work at improving KB responses we migrated the edic model so you should notice a higher quality and speed of knowledge based responses so there's a lot more coming out in the future so make sure to keep an eye out [Music]

Original Description

We are excited to announce a powerful new feature in Voiceflow's Knowledge Base: the ability to handle tabular data, enrich all data sources with metadata, and perform advanced query filtering. This enhancement provides our users with more flexibility, precision, and control over their AI agents, ensuring they deliver the most relevant and contextually accurate responses. Read the changelogs here: https://developer.voiceflow.com/docs/filter-with-metadata Claude 3.5 Sonnet is now available in Voiceflow. Select Anthropic's latest model for any AI steps to utilize the power of Opus with the speed and cost of Sonnet. The collaborative platform to build AI agents. Use Voiceflow to design, test, and launch chat or voice AI agents — together, faster, at scale. Join our Discord community 👾 https://link.voiceflow.com/community Kickstart your next project with our templates 🚀 https://www.voiceflow.com/templates?utm_source=youtube&utm_medium=organic Our Links 🔗 👉 Start building today: https://www.voiceflow.com/?utm_source=youtube&utm_medium=organic 👉 Subscribe: https://bit.ly/3am22nf 👉 Twitter: https://bit.ly/2xrXZqV 👉 LinkedIn: https://www.linkedin.com/company/voiceflowhq/ 👉 Publication: https://www.voiceflow.com/blog?utm_source=youtube&utm_medium=organic
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Voiceflow's new feature supports tabular data and JSON uploads, improving AI agent control and query filtering. Testimonials from Powerful Commerce and Fast Brand Technologies demonstrate its effectiveness. The update also includes model improvements and new features like Anthropics LLaMA 3.5 Sonnet.

Key Takeaways
  1. Upload tabular JSON data using the new API
  2. Specify searchable and metadata fields
  3. Integrate with e-commerce platforms like Shopify
  4. Build custom connectors for data integration
  5. Test and feedback on the new feature
💡 The ability to handle tabular data and enrich data sources with metadata provides more flexibility, precision, and control over AI agents.

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