Artificial Intelligence is evolving rapidly, but one of the biggest challenges for developers is building agents that remember, reason and adapt. Traditional RAG (Retrieval-Augmented Generation) systems often fall short when handling context, scalability and precision. That’s where Cognee comes in. It is an open-source framework designed to provide AI agents with memory using a unique … Read more
Artificial Intelligence is rapidly evolving beyond chatbots and text generation. The next frontier is AI agents — intelligent, autonomous systems that can reason, take action and collaborate with tools and other agents. To help developers and practitioners build these next-generation systems, Google is launching the 5-Day AI Agents Intensive, a no-cost, online program running from … Read more
In today’s AI-driven world, data is only as powerful as its accessibility and structure. Whether it’s research papers, financial reports, contracts, or scanned PDFs, unstructured documents are often the biggest barrier between raw data and actionable insights. That’s where Docling- an open-source project under the LF AI & Data Foundation, is making a transformative impact. … Read more
Artificial Intelligence has rapidly moved beyond simple chatbots to complex multi-agent systems that can collaborate, reason and solve real-world problems. To enable developers and enterprises to harness the full potential of AI agents, Microsoft has introduced the Agent Framework – a comprehensive, open-source toolkit designed for building, orchestrating and deploying AI-powered agents and workflows. In … Read more
Artificial Intelligence is revolutionizing every industry from healthcare to finance, from e-commerce to self-driving cars. For learners and professionals alike, hands-on projects are the fastest way to build skills, master concepts and showcase expertise. That’s where the massive open-source repository “500+ project repository containing AI, Machine Learning, Deep Learning, Computer Vision, and NLP Projects with … Read more
As artificial intelligence continues to reshape industries, managing and scaling AI workloads has become increasingly complex. Enterprises and research teams often struggle to balance cost, performance and scalability across different infrastructures like Kubernetes, cloud platforms and on-premises clusters. SkyPilot solves this challenge by offering a unified, infrastructure-agnostic system that simplifies workload orchestration and optimizes resource … Read more
In today’s software landscape, backend complexity has become one of the biggest bottlenecks for developers. APIs often live in one framework, background jobs in another, queue management in a third and AI agents in yet another isolated environment. This fragmentation slows down development, creates integration headaches and makes monitoring and scaling a nightmare. Motia is … Read more
Building a machine learning (ML) model is just the beginning of the journey. The real challenge lies in taking that model to production, maintaining it over time and ensuring it continues to perform reliably in real-world scenarios. This is where MLOps comes into play. To help beginners and practitioners navigate this complex process, the open-source … Read more
Artificial Intelligence (AI) is advancing at an incredible pace, with large language models (LLMs) and vision-language models (VLMs) driving breakthroughs in natural language processing, multimodal AI and enterprise applications. However, fine-tuning these massive models often demands extensive resources, technical expertise, and weeks of experimentation. This is where LLaMA-Factory steps in a powerful, open-source platform designed … Read more
Artificial Intelligence is reshaping industries at a pace never seen before. As organizations grapple with vast amounts of structured and unstructured data, there is a growing demand for tools that can make sense of it all with speed, accuracy and context. This is where RAGFlow stands out. Positioned as a next-generation open-source Retrieval-Augmented Generation (RAG) … Read more
GraphRAG (Graph Retrieval-Augmented Generation) is reshaping the way Large Language Models (LLMs) access and process information. While traditional RAG retrieves relevant text chunks to improve model outputs, it often struggles with fragmented context and shallow connections. It solves this by leveraging knowledge graphs to map relationships between entities, concepts and events. In this blog, we’ll … Read more