Onymos DocKnow eliminates the need for time-intensive and error-prone manual data processing by using enhanced optical character recognition (OCR) to extract information from both structured and unstructured data. This includes printed and handwritten text, numbers, dates, checkboxes, barcodes, QR codes, and more from any document, including personal identification, intake forms, and health and immunization records. DocKnow can also be easily integrated with any third-party back-end information management system – such as Salesforce, AWS, Azure, and Google – or health record system.

In this latest version, DocKnow is strengthened by:

• A new customer-specific LLM API: This new API enables enterprises to train their own LLMs using their specific data, resulting in more accurate and domain-specific document processing. For instance, DocKnow reliably and instantly identifies inconsistent data across hundreds of pages.
• A new, helpful AI assistant: “Doc,” the Onymos AI agent, enables document processing teams – which could include healthcare professionals, legal teams, university registrars, and more – to search through specific documents and hundreds of pages for immediate access to particular information and records.
• An upgraded, customizable user interface (UI): The new, simple UI includes bounding boxes, automatic zoom-in/zoom-out, image enhancement, and skew correction, which dramatically improves readability for human reviewers. It allows full customization to match an enterprise’s brand, required functionality, and back-end systems. This gives enterprise software engineering and IT teams the ability to modify the component to meet their specific needs as if they had built it from the ground up themselves.

“We understand that many enterprises struggle with time-consuming and error-prone processes like document entry, validation, and retrieval, whether it’s for patient care, student registration, or case file review. While these enterprises have started integrating AI tools powered by LLMs like ChatGPT to help with these activities, they often encounter hallucinations and outdated training data issues,” shared Shiva Nathan, Founder and CEO of Onymos. “Our enhanced DocKnow addresses these challenges by streamlining document processing and empowering enterprises to train their own LLM models tailored to their specific needs, all while ensuring privacy and security.”

As with all Onymos software components, DocKnow is designed with a no-data architecture. This means that all data passing through the solution and used to train the LLM remains securely with the enterprise using the API – no bit or byte of data flows through any Onymos systems or clouds.

For more information on Onymos and DocKnow, visit onymos.com. You can also learn more about Onymos’ no-data architecture by downloading the white paper here.

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#2. Gooey
Gooey allows developers to convert console apps into user-friendly GUI apps so that they can focus on developing robust and configurable programs without having to worry about how it will look and feel, according to its GitHub page. “More often than not programs need to do more than just one thing, and that means giving options, which previously meant either building a GUI, or trying to explain how to supply arguments to a console application. Gooey was made to (hopefully) solve those problems,” the project creator, Chris Kiehl, wrote.”

#3. Duo
Duo is a next-generation package manager for front ends that blends ideas from Component, Browserify and Go. It makes organizing and writing front-end code quick and painless, according to the project’s GitHub page. Features include support for JavaScript, HTML and CSS; support for transforms such as CoffeeScript or SASS; and the ability to pull source directly from GitHub. More information is available here.

#4. LowDB
Created by Typicode, LowDB is a serverless flat JSON file database for Node. “LowDB is built on Lo-Dash this makes it quite different and unique compared to other serverless databases often based on MongoDB’s API,” according to the project’s GitHub page.

5. Gogs
Gogs stands for Go Git Service, and it is a “painless self-hosted Git Service written in Go,” according to its GitHub page. It is easy to install; runs anywhere Go can; has low minimal requirements, runs on Raspberry Pi; and supports MySQL, PostgreSQL and SQLite3. More information is available here.

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