Writer drops mind-blowing AI update: RAG on steroids, 10M word capacity, and AI ‘thought process’ revealed

by | Jul 9, 2024 | Technology

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Writer, a leading enterprise AI platform, has rolled out a suite of powerful enhancements to its artificial intelligence chat applications, announced today at VB Transform. The sweeping improvements, which include advanced graph-based retrieval-augmented generation (RAG) and new tools for AI transparency, will go live across Writer’s ecosystem starting tomorrow.

Both users of Writer’s off-the-shelf “Ask Writer” application and developers leveraging the AI Studio platform to build custom solutions will have immediate access to these new features. This broad rollout marks a significant leap forward in making sophisticated AI technology more accessible and effective for businesses of all sizes.

At the heart of the upgrade is a dramatic expansion in data processing capabilities. The revamped chat apps can now digest and analyze up to 10 million words of company-specific information, enabling organizations to harness their proprietary data at an unprecedented scale when interacting with AI systems.

Unleashing the power of 10 million words: How Writer’s RAG technology is transforming enterprise data analysis

“We know that enterprises need to analyze very long files, work with long research papers, or documentation. It’s a huge use case for them,” said Deanna Dong, product marketing lead at Writer, in an interview with VentureBeat. “We use RAG to actually do knowledge retrieval. Instead of giving the [large language model] LLM the whole library, we’re actually going to go do some research, pull all the right notes, and just give the LLM the right resource notes.”

Countdown to VB Transform 2024

Join enterprise leaders in San Francisco from July 9 to 11 for our flagship AI event. Connect with peers, explore the opportunities and challenges of Generative AI, and learn how to integrate AI applications into your industry. Register Now

A key innovation is Writer’s graph-based appr …

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We want to hear from you! Take our quick AI survey and share your insights on the current state of AI, how you’re implementing it, and what you expect to see in the future. Learn More

Writer, a leading enterprise AI platform, has rolled out a suite of powerful enhancements to its artificial intelligence chat applications, announced today at VB Transform. The sweeping improvements, which include advanced graph-based retrieval-augmented generation (RAG) and new tools for AI transparency, will go live across Writer’s ecosystem starting tomorrow.

Both users of Writer’s off-the-shelf “Ask Writer” application and developers leveraging the AI Studio platform to build custom solutions will have immediate access to these new features. This broad rollout marks a significant leap forward in making sophisticated AI technology more accessible and effective for businesses of all sizes.

At the heart of the upgrade is a dramatic expansion in data processing capabilities. The revamped chat apps can now digest and analyze up to 10 million words of company-specific information, enabling organizations to harness their proprietary data at an unprecedented scale when interacting with AI systems.

Unleashing the power of 10 million words: How Writer’s RAG technology is transforming enterprise data analysis

“We know that enterprises need to analyze very long files, work with long research papers, or documentation. It’s a huge use case for them,” said Deanna Dong, product marketing lead at Writer, in an interview with VentureBeat. “We use RAG to actually do knowledge retrieval. Instead of giving the [large language model] LLM the whole library, we’re actually going to go do some research, pull all the right notes, and just give the LLM the right resource notes.”

Countdown to VB Transform 2024

Join enterprise leaders in San Francisco from July 9 to 11 for our flagship AI event. Connect with peers, explore the opportunities and challenges of Generative AI, and learn how to integrate AI applications into your industry. Register Now

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