Powering Generative AI with an Agentic Framework

At Everlign, we believe the foundation of a high-performing generative AI application lies not just in the large language models (LLMs) it uses, but in the quality, structure, and intelligence of the data that feeds those models.

That’s why we’ve developed a powerful agentic framework as a core component of our enterprise AI platform. This framework is designed to convert raw, unstructured data into structured, actionable source data that drives our generative AI applications.

What Is the Agentic Framework?

Think of it as a modular and extensible system of intelligent agents, each responsible for a specific step in the data preparation pipeline. At the core of this system is a foundational Entity Extraction Agent, which parses unstructured text and extracts domain-specific entities and terms. This agent provides a foundational class that other agents extend to perform more specialized tasks.

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Building Source Data for Generative AI

Our agentic framework powers the data ingestion and source data generation pipeline for our Retrieval-Augmented Generation (RAG) architecture. This pipeline transforms unstructured documents into a rich, structured representation of question-and-answer pairs, page-level summaries, metadata references such as page numbers etc. This structured data becomes the backbone of our generative AI use cases, enabling the system to trace, retrieve, and respond with accuracy and transparency.

Specialized Agents for Precision and Performance

By extending the base entity extraction class, we've developed agents that focus on:

• Q&A Generation: Automatically generating likely questions and their accurate, grounded responses.
• Keyword Generation: Producing high-quality keywords that enhance the precision of our retrieval models.
• Summary Creation: Creating focused page-level summaries used directly by LLMs in response generation.
• Domain Specific Agents: Extracting highly valuable pieces of information to solve cross domain problems ranging from more classic entity extraction use cases (e.g. data parsing, structured data transformation) to more complex multi-agent systems (e.g. UI automation and facilitation, auto-filtering, smart filtering / smart search for RAG systems)

These specialized agents can then be orchestrated as part of a coordinated ingestion pipeline, enabling automated and domain-specific source data generation tailored to each use case. This source data is used by our retrieval models for both semantic similarity and keyword search as part of our ensemble modeling approach, while the page summaries support the language models on the generative side of our RAG pipeline.

Why It Matters

In many generative AI solutions, the spotlight is on the language model. But what often determines real-world success is the supporting data infrastructure. Our agentic framework allows us to automate and standardize the most critical parts of that pipeline: ingesting, enriching, and structuring data at scale. It’s this focus on upstream innovation, before a prompt is ever typed, that allows Everlign to build generative AI applications that are trustworthy, traceable, and enterprise-ready.

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Want to see our Agentic Framework in action? Contact us to learn how Everlign’s Enterprise AI platform can drive actionable insights and performance for your business.