Flexible document management with secure access

Upload and organize standard business formats (.txt, .pdf, .doc, .docx, .md, .html) into dedicated project spaces with granular access controls. Thanks to ToOne's modular design, the system can be easily extended to support additional file types and integrate with various data sources like JIRA tickets, wikis and email systems. Team members see only what they need, while you maintain the flexibility to expand document coverage as your needs grow.

Get instant answers, not endless searches

Stop scrolling through hundreds of pages of documentation. Simply ask your question in natural language, and ToOne instantly pinpoints the exact information you need. Within seconds, you'll receive accurate, context-aware answers drawn from your entire documentation base.

Trust every answer with source-backed responses

Every response comes with direct links to the source documents, letting you verify information instantly and dive deeper when needed. This transparent approach ensures you can always trace answers back to their original context.

Azure DevOps integration

Turn your backlog into actionable insights. ToOne automatically ingests Azure DevOps tickets, giving you instant access to your entire agile knowledge base. Whether you need clarification on requirements, feature specifications, or acceptance criteria, get precise answers without diving into multiple work items.

Under the hood: ToOne's core capabilities

How does ToOne search for the right answer?

ToOne uses Retrieval Augmented Generation (RAG) architecture to process queries against the document base. Document chunks are embedded and semantically indexed during ingestion, enabling contextually relevant passage retrieval at query time. The retrieved passages are then used to augment Large Language Model prompts, ensuring responses are both accurate and anchored in source documentation.

Uploading and pre-processing documents

Documents are organized into projects, with metadata describing them to help resolve potential consistency issues. To ensure optimal processing, we prepare documents for embedding by splitting them into smaller chunks first.

Uploading and pre-processing documents

Documents are organized into projects, with metadata describing them to help resolve potential consistency issues. To ensure optimal processing, we prepare documents for embedding by splitting them into smaller chunks first.

Embedding process

The app converts individual chunks of documents into embeddings, and then stores them in a vector database. Options for embedding include OpenAI API and local open-source models. The numerical form of embeddings allows AI models to easily understand the text context, predict similarities, and provide accurate responses.

Questions & answers

Users can interact with ToOne by asking questions, which the application embeds in order to search the database for the most suitable responses. This contextual search process involves ranking top responses, which are sent to OpenAI for interpretation by the LLM.

How is the Azure DevOps integration set up?

Authentication

The application implements OAuth2 authentication protocol to connect with Azure DevOps organizations. Persistent access to the Azure DevOps REST API is maintained through authorization tokens, minimizing authentication overhead.

Permissions management

The system inherits Azure DevOps permission structure with two primary access tiers: administrative (Project Manager, Business Analyst) and general user. This model preserves existing organizational access controls while supporting ingestion of various Azure DevOps artifacts.

Development roadmap

Broader third-party integration

As the application already successfully integrates with AzDo, connecting it with other popular platforms such as Google Workspace, Jira, and GitHub can extend its versatility and utility. This will enable users to retrieve data from various sources, simplifying the data analysis process.

Company database connection

We plan to bridge the connection to the internal databases of companies, increasing the reach of data search.

Your new versatile, reliable, and multilingual team assistant, transforming document and content management

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Use cases

Government organizations

Enhance efficiency, security, and public service delivery.

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Fintech industry

Elevate your services with cutting-edge analytics, security, AI, and blockchain solutions.

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Healthtech companies

Improve patient care, data security, and operational efficiency.

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Software development firms

Simplify user story creation and bug tracking forms.

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Law firms

Streamline legal processes with advanced AI-driven document analysis and management solutions.

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Researches

Enhances research efficiency by utilizing AI to quickly analyze and summarize large volumes of data.

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Consulting firms

Get AI-driven insights and automate routine tasks for improved decision-making and efficiency.

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Help desks

Quickly resolve common inquiries and efficiently manage support tickets.

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Customer support

Leverage AI to provide fast, accurate responses and streamline issue resolution processes.

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Recommendation platforms

Improve the accuracy and personalization of recommendations.

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Book clubs

Creating a more personalized, engaging, and productive experience.

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Frequently asked questions

How does Form2Agent AI communicate with the web forms?

The chatbot is trained on how to format responses to effectively communicate with the web client. It uses client-side scripts to auto-fill the form fields based on the AI's response.

Why use Form2Agent over competition?

Existing online tools didn't meet our specific needs or had features that didn't justify their cost. Our custom solution ensures all necessary functionalities are covered for our partners.

How can I incorporate the Form2Agent AI into my project?

We're developing a Web toolset. Contact us at info@freeportmetrics.com for assistance, and we'll help you integrate it smoothly.

Ready to streamline how you manage company documents?

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