Systems | Development | Analytics | API | Testing

Introducing Agentic RAG: The Best of Both Worlds

RAG and Agentic AI shape how intelligent systems interact with data and users. RAG enhances LLMs by retrieving external information to improve accuracy and contextual relevance, while Agentic AI introduces autonomy, decision-making, and adaptability into AI-driven workflows. Agentic RAG combines the power of both, transforming RAG into a multi-step, autonomous, complex process that can self-improve.

Explainer: Angles Enterprise for Oracle

Angles for Oracle is a comprehensive solution designed to transform the way businesses interact with their Oracle ERP data. Featuring a context-aware, process-rich business data model, it offers an extensive library of 1,800 pre-built, no-code business reports alongside a high-performance process analytics engine. Seamlessly integrating with Oracle Business Applications, including EBS and OCA, Angles for Oracle empowers organizations to unlock their enterprise data, delivering actionable insights that significantly enhance decision- making and operational efficiency.

The Future of Data Engineering: Automate, govern, and scale with Fivetran and Databricks

Discover how to streamline your data engineering workflows and automate many of the tasks that bog down engineers. You will also explore: How Fivetran seamlessly integrates your data sources into Databricks, enabling you to build a truly modern and efficient data architecture. The Databricks Data Intelligence Platform and its combination of the best of data lakes and data warehouses, providing a unified platform for all your data, governance, and AI needs.

Understanding Data Lakehouses: A Modern Data Management Approach

A data lakehouse is an innovative data architecture that blends the strengths of data lakes and data warehouses into a single, cohesive system. It retains the cost-effectiveness and flexibility of data lakes while incorporating the structured data management and performance optimization capabilities of data warehouses.

Powering AI Agents with Real-Time Data Using Anthropic's MCP and Confluent

Model Context Protocol (MCP), introduced by Anthropic, is a new standard that simplifies artificial intelligence (AI) integrations by providing a secure, consistent way to connect AI agents with external tools and data sources. When we saw MCP’s potential, we immediately started exploring how we could bring real-time data streaming into the mix. With our long history of supporting open source and open standards, building an MCP server was a natural fit.

Info-Tech Names Logi Symphony as a 2025 Leader in Business Intelligence and Analytics

Info-Tech has released its 2025 Data Quadrant Report, which recognizes the best in technology solutions. Every year, Info-Tech evaluates top-performing software solutions based on authentic user reviews. Evaluating feedback from 3,433 users, this year’s report turned its focus toward business intelligence (BI) and analytics solutions that drive better decision-making for customers.

Countly 25.03 - A Deep Dive into the Latest Release

On March 3, 2025, we released version 25.03 of our product analytics platform, delivering a focused set of updates that refine how we handle data, improve our user interface, and expand compatibility with cutting-edge technologies. While our major new functionality—Journeys and Content Builder—was already introduced in a separate article (read it here), this release brings additional enhancements worth exploring.