Category: Articles
The complete guide to enterprise search
In today’s digital enterprises, information overload is a silent productivity killer. Employees waste hours searching for the right document, switching between disconnected tools, or asking colleagues to locate critical data. As companies expand their digital footprint, the need for a robust enterprise search solution becomes more pressing. This guide helps organizations and teams understand, compare,…
What is a GenAI assistant and how can it transform your business?
In today’s fast-moving digital landscape, organizations are seeking smarter ways to streamline operations, empower professionals, and enhance customer interactions. Enter the GenAI assistant—a new kind of intelligent language-based tool designed to answer questions, automate tasks, and unlock business value. Combining the power of generative technology, LLMs, and human-centered design, GenAI assistants represent a major shift…
AI text processing: The complete guide to understanding and applying NLP technologies
In today’s digital world, the amount of text-based data produced every second is staggering—emails, documents, support tickets, chat logs, product reviews, and more. Yet, most of this data remains unstructured and difficult to exploit. That’s where AI text processing comes in. By applying natural language processing (NLP) techniques and machine learning models, AI text processing…
Introducing “Naja”: Webinar Slides Available
On July 1st, 2025, we hosted a live webinar unveiling Naja, the latest advancement in our platform designed to elevate intelligent document processing. During this 45-minute session (including live Q&A), we demonstrated how to: The event provided a live demo showcasing the powerful capabilities of this innovative solution. The slides from the demo are now accessible for anyone…
AI studio for processing text documents: The complete guide
In every organization, documents multiply—contracts, reports, forms, customer records—often filled with valuable information, but buried in unstructured text. Manually extracting, analyzing, and organizing this data is time-consuming, error-prone, and simply not scalable. An AI studio is designed to solve this. It provides a centralized, intelligent environment where teams can create, train, and run custom document…
Decision intelligence platforms: What they are and why they matter ?
In an era where data is abundant but time and clarity are limited, organizations face a growing challenge: how to turn complex data into meaningful outcomes. Decision Intelligence Platforms offer a powerful solution by combining human and technical resources, software components and AI to support and enhance decision-making across the enterprise. These platforms don’t just…
What Are Word Embeddings? A Complete Guide for NLP Practitioners
In the realm of natural language processing (NLP), understanding word embeddings is fundamental. Imagine navigating a city without a map. In the world of language models, word embeddings act like a GPS — transforming textual data into numerical coordinates within a high-dimensional vector space. This allows machines to grasp not just the words themselves, but…
Retrieval Augmented Generation vs Fine Tuning: Choosing the right approach
In today’s rapidly evolving AI landscape, businesses are increasingly turning to Large Language Models (LLMs) to automate tasks, generate insights, and personalize experiences. But choosing between Retrieval Augmented Generation (RAG) and fine-tuning isn’t always straightforward. Each method offers distinct advantages—and potential pitfalls—depending on your specific use case, data context, and performance objectives. Companies often struggle…
RAG production: the complete guide to building and deploying retrieval-augmented generation applications
Retrieval-Augmented Generation (RAG) is an advanced AI architecture designed to provide accurate and contextually relevant responses by integrating a robust retrieval stage with generative language models (LLMs). Unlike traditional generative approaches, RAG systems first query databases or vector stores for relevant documents, embedding precise contextual information directly into the generation pipeline. This technique significantly improves…
RAG conversational AI: the complete guide to building advanced AI chatbots
Conversational AI is quickly becoming a cornerstone of digital transformation. Yet effectively integrating Retrieval-Augmented Generation (RAG) models into chatbots remains a major challenge for AI developers and enterprises. Often, detecting intent, maintaining conversational context, ensuring response accuracy (response), and seamlessly integrating documents into interactions pose significant difficulties. In this comprehensive guide, we’ll walk you through…