Anthropic's Claude AI model achieved a 93% success rate in designing functional de novo protein binders for 14 of 15 targets, with wet-lab validation by Adaptyv Bio and Twist Bioscience, according to …
PLSQL Insight, a private, evidence-grounded application for understanding Oracle PL/SQL, has been released as a React 19 edition. The application, built by a developer, integrates FastAPI, LangGraph, …
A developer's analysis of local-first AI agents in 2025 highlights products like ScreenPipe by Agnostiq and Headroom as proof that production-grade capability is achievable on-device. The article deta…
LangChain's blog post on graph engineering distinguishes execution graphs, which coordinate agent workflows, from context graphs, which represent shared domain knowledge, arguing that durable agent st…
Pi, a coding agent from pi.dev, implements compaction to manage LLM context window limits by summarizing older conversation content while preserving recent messages. Compaction triggers automatically …
RAGproof released an open-source tool, rag-staleness-check, that performs read-only staleness, orphan, duplicate, and retrievability checks on a single pgvector, Qdrant, or Chroma index. The tool, ins…
A developer building infrastructure for vertical AI argues that the industry's pursuit of deterministic AI agents is fundamentally flawed, as LLMs are probabilistic by nature and cannot be made fully …
Hubmesh, a new open-source project, introduces a local-first multi-hop retrieval system that combines Chroma vector search with an entity graph and Personalized PageRank, achieving 75.2% supporting-fa…
Hubmesh, a new Python library, improves multi-hop RAG retrieval by adding a centrality-aware planner over existing vector databases, eliminating LLM calls in the query path. The library uses multi-com…
Retrieval-Augmented Generation (RAG) is the key to building AI agents that don't hallucinate, according to a new guide that outlines how to set up retrieval layers using vector stores like Chroma, FAI…
A 13-month experiment on a real GitLab Handbook corpus found that a RAG index grew 5x from 33,286 to 166,947 chunks, with 90% of chunks failing a ground-truth check due to ingestion bugs. The teardown…
Context rot, a measured decline in AI model output quality as input length grows, was documented in a 2025 Chroma study that tested 18 frontier models including GPT-4.1, Claude 4, Gemini 2.5, and Qwen…
Block launched Buzz, an open-source workspace where AI agents are treated as team members with their own identities and keys, amassing 6,700 GitHub stars in two days. Andrew Ng released OpenWorker, a …
MyZubster is building a multi-agent system with long-term memory for real estate tokenization, inspired by Google's approach. The system uses a three-tier memory architecture—short-term, long-term (ve…
A developer built a 20x faster RAG memory testing pipeline using Playwright and Chroma, replacing slow manual Postman workflows. The automated solution drives a real browser through conversations and …
A 2025 study by AI infrastructure company Chroma found that all 18 frontier models tested — including GPT-4.1, the Claude 4 family, Gemini 2.5, and Qwen3 — performed worse on simple retrieval tasks as…
A developer building an Industrial IoT Anomaly Control system for a simulated water-treatment plant created an observable AI agent that stops, shows evidence, and escalates to humans when confidence i…
A context-assembly pipeline that turns raw issue tickets into verified briefs outperforms autonomous coding agents on real-world support queues, according to a design pattern published on dev.to this …
A developer built an AI-driven pipeline that uses retrieval-augmented generation (RAG) with LangGraph and Chroma to automatically enrich raw GitHub issues with context from 1500+ existing issues, comm…
A first-year undergraduate student in Artificial Intelligence Engineering is building a Retrieval-Augmented Generation (RAG) project from scratch, documenting the process in a series of blog posts. In…