RAG precision tuning can quietly cut retrieval accuracy by 40%, putting agentic pipelines at risk

Fine-tuning RAG embedding models for precision triggers a retrieval accuracy tradeoff that standard benchmarks won't catch ...
Analytics Insight

Best Vector Database Options for RAG in 2026 Explained

Overview RAG is transforming AI apps, and vector databases are the engine behind accurate, real-time responsesChoosing the ...
marktechpost

A Coding Implementation to Design an Enterprise AI Governance System Using OpenClaw Gateway Policy Engines, Approval Workflows and Auditable Agent Execution

In this tutorial, we build an enterprise-grade AI governance system using OpenClaw and Python. We start by setting up the OpenClaw runtime and launching the OpenClaw Gateway so that our Python ...
GitHub

DevilSyfer/legal-rag-system-

A production-ready Retrieval Augmented Generation (RAG) system built from scratch for legal document intelligence. Upload any PDF, ask questions, and get grounded answers with source citations — ...
blockchain

Anthropic Launches Free Claude Builder Courses with Certificates: Prompt Engineering, Tools, RAG, and Eval Guides

According to God of Prompt on X, Anthropic released free, certificate-backed courses on building with Claude covering prompt engineering, tool use, retrieval augmented generation, and evaluations ...
CNBC

Trump admin blacklists Anthropic as AI firm refuses Pentagon demands

President Donald Trump ordered U.S. government agencies to "immediately cease" using technology from the artificial intelligence company Anthropic. The AI startup faces pressure by the Defense ...
marktechpost

A Coding Implementation to Build a Hierarchical Planner AI Agent Using Open-Source LLMs with Tool Execution and Structured Multi-Agent Reasoning

In this tutorial, we build a hierarchical planner agent using an open-source instruct model. We design a structured multi-agent architecture comprising a planner agent, an executor agent, and an ...