eWeek

Anthropic Leaks Claude Code, a Literal Blueprint for AI Coding Agents

Anthropic’s Claude Code leak reveals how modern AI agents really work, from memory design to orchestration, and why the ...
GitHub

RAG-Retrieval

The RAG-Retrieval offers end-to-end code for training, inference, and distillation of the RAG retrieval model. 🔥 22/05/2025: RAG-Retrieval released Myopic Trap, an empirical study of positional bias ...
Visual Studio Magazine

Hands On with VS Code 1.112's New Image Analysis for Agents

VS Code 1.112 agents can now read image files from disk. The image carousel can open generated or selected images in chat. My PoC used three leaderboard screenshots to summarize model trade-offs.
IEEE

Text-Guided Unsupervised Hashing with Community Exploration for Image Retrieval

Abstract: Hashing retrieval plays a crucial role in image retrieval tasks due to its efficiency and accuracy. In singlemodal hashing-based image retrieval, the core challenge lies in enabling the ...

Google's Gemini Embedding 2 arrives with native multimodal support to cut costs and speed up your enterprise data stack

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...
GitHub

GitHub - deepanshu-Raj/SentinelRAG: A policy-aware hybrid RAG agent for secure question answering over code repositories and documentation, with BM25/FAISS retrieval, MCP-style ...

SentinelRAG is a retrieval-augmented generation (RAG) system that prevents sensitive information leakage by combining hybrid retrieval (BM25 + FAISS), a two-stage policy engine, confidence-aware ...