Software Engineering
Drop-in kit for developers building AI/RAG/agent apps on software engineering: verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
A Knowledge Pack gathers in one kit what you need to make a language model or assistant work on a sector: a clean corpus with sources, evaluation questions with a reference answer, production prompts and a data model. The glossary, FAQ and best practices of every pack are free; the full kit is paid.
Drop-in kit for developers building AI/RAG/agent apps on software engineering: verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on software architecture (patterns, trade-offs, decision records): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on microservices (decomposition, service mesh, Saga, resilience): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on API design (REST, GraphQL, OpenAPI, versioning, security): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on testing & QA (unit, integration, E2E, test strategy): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on web frontend (components, state, performance, accessibility): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on web cybersecurity (OWASP, authentication, hardening, threat modeling): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on Docker & Kubernetes (containers, orchestration, deployment, scaling): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on DevOps & CI/CD (pipelines, automation, infrastructure-as-code, releases): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on observability (metrics, logs, tracing, alerting, SLOs): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on cloud infrastructure (compute, networking, storage, IaC, cost): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on databases & SQL (modeling, queries, indexing, performance, transactions): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on data engineering (ETL/ELT pipelines, streaming, data lakes, orchestration): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on RAG systems (chunking, embeddings, vector stores, retrieval, re-ranking): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on AI agents (tool use, planning, memory, multi-agent orchestration): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on prompt engineering (patterns, few-shot, chain-of-thought, structured output): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on LLM Ops (deployment, evaluation, monitoring, cost, guardrails): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
RAG/agent-ready kit for developers building HIPAA-compliant applications: golden eval set, cleaned RAG corpus, production prompts and a data model with labeled dataset.
RAG/agent-ready kit for developers building MiFID II-compliant EU fintech applications: golden eval set, cleaned RAG corpus, production prompts and a data model with labeled dataset.
RAG/agent-ready kit for developers building GDPR-compliant applications: golden eval set, cleaned RAG corpus, production prompts and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on supply chain (logistics, procurement, Incoterms 2020, OTIF, WMS/TMS): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on manufacturing (OEE, ISO 9001/14001, MES/ERP, quality, predictive maintenance): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on human resources management (recruiting, performance, GDPR-HR, onboarding, payroll): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on CRM (pipeline, segmentation, lifetime value, churn prediction, marketing automation): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on marketing & SEO (content strategy, keyword research, ROAS/CPM, ePrivacy, GDPR-descriptive): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on the automotive sector (emission regulations, V2X, ADAS, WP.29 type approval, fleet management): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on the energy sector (electricity markets, renewables, grid management, ARERA unbundling): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps in telecommunications (5G, MVNO, roaming, MNP, AGCOM regulation, billing): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps in real estate (land registry, property valuation, auctions, condo management, PropTech): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps in education (LMS, adaptive learning, SCORM/xAPI, assessment, EdTech): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps in tourism (booking, GDS, revenue management, OTA, customer experience): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on logistics (TMS/WMS, last-mile, cold chain, customs clearance, route optimization): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps in retail & e-commerce (OMS, PIM, product recommendations, omnichannel, inventory): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps in food & beverage (HACCP, traceability, EC 852/2004, nutri-score, food safety): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps in business insurance (corporate policies, claims management, actuarial pricing, Solvency II basics): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps in construction (BIM, specifications, building bonuses, site safety D.Lgs. 81/08, public procurement): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps in fashion & textiles (fast fashion, luxury, PLM, sustainability, manufacturing supply chain): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on trekking and mountaineering (UIAA grades, CAI signage, navigation, mountain safety): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on botany (APG IV taxonomy, GBIF, scientific names, ethnobotany, plant ecology): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on marine biology (WoRMS, FishBase, coastal biodiversity, corals, cetaceans, water quality): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on cartography (projections, WGS84/UTM datum, IGM, OpenStreetMap, GeoJSON, GIS analysis): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
Drop-in kit for developers building AI/RAG/agent apps on urban exploration (safe documentation, access regulations, industrial history, photography, no-locality ethics): verified golden eval set, cleaned RAG corpus, production prompts (Claude/GPT/Cursor/Copilot) and a data model with labeled dataset.
A language model answers well about a sector only if it has clean, source-anchored, verifiable material. Putting together a corpus, test questions and prompts for each domain takes a lot of work: in a Knowledge Pack you get them already structured, with the source cited line by line.
Every premium kit contains at least 50 evaluation questions, 40 corpus passages and 30 labeled examples. The premium material is in Italian; most packs also come in English.
Each pack costs from €15.00 to €19.00, as a one-off payment with no subscription. For several packs in the same area there is a discounted bundle; the exact price is always the one shown before payment.
Yes. The glossary, terminology, FAQ, best practices, sources and changelog of every pack are released under a CC BY 4.0 license: you can copy, adapt and use them, including in a commercial product, as long as you credit the author.
Yes, to build, evaluate and run internal or commercial software. The license is non-exclusive and non-transferable; you may not resell or republish the material as a competing dataset or kit.
Payment is one-off and handled by Stripe. After purchase, sign in with your account and download the pack as a ZIP archive from the pack page.
No. Healthcare, finance, insurance and data protection packs are for information and training only: they do not replace the advice of a qualified professional.