Insights, updates, and deep dives from the Promptev team.
On Supabase, pg_trgm installs into an extensions schema rather than public. CREATE EXTENSION reports success, migrations pass, and then similarity() fails at query time in production. Here is why, how to detect it before deploying, and the one-line fix.
The Digital Omnibus deferred high-risk obligations to 2 December 2027, but Article 12 record-keeping is unchanged in substance and the deployer stays accountable regardless of who built the system. What the obligation says, mapped to the records a retrieval layer can emit — and the three things you still have to build yourself.
Every benchmark of access-filtered vector search assigns permissions at random. Real permissions are topically clustered — and that roughly doubles the recall loss. Same corpus, same visibility, recall 0.473 instead of 0.980, with a quarter of queries returning nothing.
Every developer using AI coding tools hits the same wall. You start with one MCP server — maybe GitHub. Then…
As AI adoption surges across industries, many teams rely on Retrieval-Augmented Generation (RAG) to bridge internal data with large language…
For decades, being a lawyer meant mastering legal knowledge, drafting documents, and manually reviewing contracts line by line. Your value…
Legal teams have always been known for precision, long hours, and heavy documentation. But today, you’re facing a different kind…
You don’t lose sleep because of data. You lose sleep because pipelines break at 3 AM. Modern data engineering isn’t…
You’ve probably heard promises about AI transforming your business. Every business owner wants faster decisions and automated workflows in their…
You’ve probably heard a lot about prompt engineering. It sounds simple: write the right instruction, feed it to an AI…
Choosing the right context engineering platform is not about features, dashboards, or pricing alone. It is about understanding how your…
Retrieval-Augmented Generation looks deceptively simple. You connect your documents, embed them, store them in a vector database, and pass the…
When you build a Retrieval Augmented Generation (RAG) system, accuracy does not come from the language model alone. It comes…
When you build a Retrieval Augmented Generation (RAG) system, the most important question isn’t “Can it answer questions?”, the real…
You build an AI system. It works perfectly in testing. Demo looks flawless. Everyone’s impressed. But the moment real users…
When you first deploy a Large Language Model (LLM), everything feels impressive. Responses are sharp. Accuracy is high. Teams are…
Introduction: In today’s fast-paced digital world, businesses rely on AI to manage tasks efficiently. Yet, many teams struggle with disorganized…
In 2026, businesses are increasingly embracing Agentic AI to streamline operations, boost productivity, and maintain a competitive advantage. Unlike traditional…
If you’re running AI at scale, you’ve experienced the same frustrating pattern every month. Your cloud bills spike. Token consumption…
You built a RAG pipeline because it promised accurate answers, grounded outputs, and production‑ready AI behavior. On paper, everything looks…
The legal industry is undergoing one of the fastest digital transformations in its history. As firms face growing case volumes,…
As companies start building AI assistants and automation tools, they realize that “just adding an LLM” is not enough. AI…
AI systems have become a core part of business operations, but even the best models still make mistakes. They forget…
AI systems are becoming more advanced every day, but even the most powerful models struggle without the right context. You…
You might think that bringing AI into your business means tearing down everything you’ve built so far. But that’s not…
Large Language Models (LLMs) like GPT, Bard, and other advanced AI platforms have transformed the way we interact with technology.…
The era of static, copy-paste prompts is over. Discover how PromptOps is revolutionizing the way teams manage, optimize, and scale AI workflows. In this blog, we explore how platforms like Promptev empower organizations with intelligent prompt version control, ensuring AI systems evolve continuously
Offering custom agents via prompts on a platform is smart and scalable for both providers and customers.
You’ve probably heard the terms: LLMs, GPTs, Generative AI. They sound like jargon meant for Silicon Valley insiders. But strip away the labels, and here’s what it really means: we now have AI assistants that can read, write, summarize, and brainstorm almost like a human.
From Chaos to Clarity: How Context Engineering is Revolutionizing AI Automation Workflows