RAG: The Architecture That Gives AI a Long-Term Memory
How Retrieval-Augmented Generation is quietly becoming the most important pattern in production AI systems — and why you should care.Continue reading on Medium »
How Retrieval-Augmented Generation is quietly becoming the most important pattern in production AI systems — and why you should care.Continue reading on Medium »
AI companies are moving fast.
Too fast.Continue reading on Medium »
Three parallel signals — regex, embedding cosine skip, light gate — and intake_trace / graph_logs so you know which branch fired.Continue reading on Medium »
Three parallel signals — regex, embedding cosine skip, light gate — and intake_trace / graph_logs so you know which branch fired.Continue reading on Medium »
Over the last year, I’ve spoken with people from banks, fintech companies, and large enterprise organizations across Europe. Almost every…Continue reading on Medium »
Custo operacional praticamente zeroContinue reading on Medium »
selects relevant candidates by subtracting regions already covered by previous picks.Continue reading on Medium »
AI tools can write code, summarize documents, answer questions, and generate content in seconds. But for a long time, they all shared the…Continue reading on softAai Blogs »
Every few months, the AI engineering community debates the relevance of Retrieval-Augmented Generation (RAG). As large language models…Continue reading on Medium »
Vector or Vectorless?If you have been following the AI boom recently, then you must have heard of vector databases. Alongside all the AI hype, we have also seen the rise of vector databases. Companies like Pinecone and Chroma have been on the rise. All…