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Today, we’re starting our journey, on DEV.to. We’re a software and AI agency focused on building practical technology that helps businesses work smarter, automate repetitive processes, and create better digital experiences.
#RAG #ChunkEnrichment #AIEngineer Curated Structured Learning program: https://balajichippada.com/ 🌐 Free AI Engineer Roadmap 2026: https://balajichippada.com/roadmap 🔗 Join the WhatsApp Community https://chat.whatsapp.com/EoQWZa870wG3TzUeOpH54c This is to bring together serious and like-minded…
Imagine asking an AI agent to prepare an offer for a loyal customer. It finds their purchase history, spots an opportunity, and recommends the next product. But it misses the service case they’ve…
Claude Sonnet 5 and Gemini 3.1 Pro ship 1M-token windows, but RULER and Chroma's research shows retrieval still beats stuffing on cost and recall accuracy...
Run AstaBrief 8B with vLLM and connect it to a private PDF retrieval pipeline, with citation IDs, prompt format, and validation steps.
AstaBrief 8B review: check its citation scores, input limits, local deployment path, and how it compares with research agents and PaperQA2.
Local SEO citations are online mentions of a business’s core NAP data: its name, address, and phone number. Search engines like Google crawl these mentions across web directories, platforms, and aggregators to verify physical location, confirm business legitimacy,...
The Adjudicated Query pattern pairs the Amazon Quick chat agent with a bounded MCP server over a deterministic rules engine to deliver provably complete, defensible compliance answers.
Fine-tuning teaches a small search agent your tools and environment, giving it the reliability of a frontier model at lower latency and cost. In this post, we fine-tune an LLM-powered search agent with multi-turn reinforcement learning (MTRL) on Amazon SageMaker AI and share the gains we measured…
The site, kolmo.io/permits, serves as an un-gated database designed to answer the questions that usually send homeowners into a spiral of municipal PDFs.
In production, the sticker price per million tokens is a poor proxy for real inference cost. The better metric is performance-adjusted cost per useful token: correct, relevant, and usable output.
The forward deployed engineer: is this the hot new AI career, or has the hype cycle rebranded?
My research agent had read about 20,400 documents. It had concluded nothing. Not metaphorically. The knowledge store held roughly twenty thousand rows — papers, articles, PDFs, nightly log entries — and there was nowhere in the system that said what any of it meant.
Reduce costs, improve response quality, and build leaner AI applications with these prompt engineering strategies.
An AI agent and an MCP server are two parts of one system. Here's what each one owns, what a connection costs in context, and which one you should build.
Evaluating Retrieval-Augmented Generation (RAG) systems remains a challenge for Low-Resource Languages (LRLs), where standard reference-based metrics fall short.
We rewrote Skyvern from scratch using Pi as inspiration, making it 2.3x faster and score 90.5% on Odysseys benchmark.
Article URL: https://github.com/beatrizalmeidaf/papero-pdf-text-extractor Comments URL: https://news.ycombinator.com/item?id=49923638 Points: 31 # Comments: 6
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