RAG, Knowledge Packs and Your Notes
Ensu Packs and Your Notes help small models answer better with knowledge stored on your device.
499 stories
Ensu Packs and Your Notes help small models answer better with knowledge stored on your device.
Enterprise RAG unlocks insights from knowledge sources like SharePoint, Google Drive, and Confluence, but those sources carry complex permissions. Learn how Amazon Quick and Amazon Bedrock Knowledge Bases enforce document-level access controls in real time, verifying permissions directly with…
Today, when a buyer asks ChatGPT, Perplexity, or Google’s AI Mode a question, they rarely see a list of suggested links. They see one synthesized answer that cites a handful of sources. If your brand is one of those citations, you win attention, traffic, and trust.
An LLM can return a fluent, confident answer that contains unsupported claims, contradicts the retrieved context, or invents facts. Traditional application monitoring won’t catch any...
An AI system can give a confident answer its source data doesn’t support. It can retrieve the wrong document and summarize it fluently, pick the...
Article URL: https://github.com/docker/docker-agent Comments URL: https://news.ycombinator.com/item?id=49996259 Points: 275 # Comments: 126
Most Python portfolios look the same: a to-do app, a Titanic notebook, and not much else. Hiring managers screening backend and AI candidates want something sharper, and well-chosen FastAPI projects deliver it.
Originally published on Codeloop Software. Quick answer: Zapier, Make, and n8n are the three leading workflow automation platforms in 2026: Zapier wins on simplicity with 6,000+ integrations from $19.99/mo, Make wins on visual logic at lower cost ($9/mo for 10,000 operations), and n8n wins on…
AI factories are some of the most complex operations in the world, combining GPUs, CPUs, switches, DPUs, and SuperNICs alongside schedulers, orchestration...
Cornerstone OnDemand built Orion AI, a multi-agent system on Amazon Bedrock and Strands Agents, to turn database operations from reactive firefighting into proactive automation. A three-person team cut database diagnosis from 45 minutes to 10, a 78% reduction, in six months.
Nobody deployed anything. Error rates are flat, latency is fine, every request returns 200. But the answers your agent gave in March were better than...
On October 14, InfoQ hosts a free 60-minute panel with five practitioners on running AI in production. They'll discuss agent autonomy and human approval, how to verify AI-generated changes, sensitive-data exposure, and production RAG. Registrants can submit questions and will receive the recording.
Check out Vidya AI: https://www.krishnaik.in/ai-tutorials Join our AI FDE Bootcamp Enrollment link: https://www.krishnaik.in/liveclass2/Forward_Deployed_Engineer?id=14 Reach out to Krish Naik's counselling team on 📞 +919111533440 or +918484837781 in case of any queries we are there to help you…
Mapping structural variance against execution outputs to estimate coding agent reliability without ground truth. The post The Consistency Quadrant: A Visual Guide to LLM Reliability appeared first on Towards Data Science.
Agents make dozens of small decisions before producing useful output: which source to trust, which tool to call, what context to keep and when to stop. Jev brings those hidden choices into the open by turning them into typed decisions with probabilities, instead of relying on free-form text alone.
Retrieval-augmented generation grounds language models in external context, but for long documents flat top-$k$ retrieval can cluster on a single region and miss complementary evidence.
I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between what the demos show and what production systems actually look like that nobody is being fully honest about.
Why 80% of enterprise RAG failures happen before retrieval starts. Learn the Goldilocks chunking dilemma, 512-token truncation, and production splitting rules.
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