Why Your Graph RAG Might Be Missing the Bigger Picture
You’ve made the leap from simple vector search to the sophisticated world of Graph RAG. But if your system still struggles to connect…
Understanding the Theoretical Limits of Embedding-Based Retrieval
Modern information retrieval faces a key bottleneck: single-vector embeddings have a mathematical limitation that makes them unreliable for…
GEPA: How Reflective AI is Outperforming Traditional Reinforcement Learning
If you work with Large Language Models (LLMs), you know that getting the perfect prompt is more of an art than a science. To move beyond…
ReasonIR: Training AI Retrievers That Can Actually Reason
Modern AI systems are tasked with complex reasoning, but the retrieval tools they rely on are often trained for simple fact-finding. A new…
Beyond the Tree: Boosting LLM Reasoning with the Forest-of-Thought Framework
Large Language Models (LLMs) are transforming our field, but getting them to solve complex, multi-step reasoning tasks reliably is still a…