AI/ML Resources

Select AI and Vector Search on a Legacy Oracle Schema: What It Actually Takes

DBAs and developers managing Oracle schemas want to understand what integrating Select AI and vector search entails before applying it to critical systems.

September 7, 2026

by arvind toorpu

CORE

· 1,792 Views · 1 Like

Teaching an LLM Your Schema's Rules: Inside Jailer's AI Subsetting Assistant

How a database subsetting tool turned a plain-English request into a reviewable, undoable extraction model — instead of just another SQL-generation chatbot.

September 7, 2026

by Ralf Wisser

· 1,669 Views · 1 Like

Building an AI Incident Response Runbook: What Engineering Teams Should Do in the First 24 Hours

AI incidents don't follow the security playbook: no CVE, no patch, and evidence that vanishes in minutes unless you've planned ahead.

September 7, 2026

by Yuliia Harkusha

· 6,180 Views · 2 Likes

How to Design a Multi-Agent AI Framework in Python for Enterprise LLM Workflows

Learn how to build a production-ready multi-agent AI framework in Python that improves reliability, reduces hallucinations, and scales enterprise LLM workflows.

September 7, 2026

by Chidiebere Njoku

· 2,186 Views · 2 Likes

This $5,000 Berkeley Humanoid Can Be Built With a Desktop 3D Printer

UC Berkeley's open-source Humanoid Lite costs under $5,000 and uses 3D-printed parts, opening humanoid robotics to more researchers and students.

September 4, 2026

by Aminu Abdullahi

· 3,057 Views

Prompting AI for Analytics: The Missing Optimization Layer Between Your Question and the Model

A practical blueprint for cutting AI token costs in analytics — clean up the question before it reaches the model, then learn from what worked.

September 4, 2026

by Dinesh Pamcheti

· 2,380 Views

Multilingual Conversational Payments Chatbot Architecture: Enterprise RAG With Safety Guardrails, Human Handoff, and Multi-Modal Support

A retrieval-augmented generation (RAG) pipeline that grounds LLM responses directly in your website/document content to prevent hallucinations.

September 4, 2026

by Sriram Ramakrishnan

· 2,479 Views · 1 Like

Handling Large API Responses Without Freezing the Client: A Practical Architecture With Temporal, Kafka, and RAG

Use Temporal for orchestration, Kafka for chunk processing, object storage for payloads, and RAG to retrieve relevant data without overwhelming clients.

September 4, 2026

by Uthej Mopathi

CORE

· 2,608 Views · 2 Likes

Building Agentic RAG, Step by Step: From Static Retrieval to Reasoning Pipelines

Build an agentic RAG system that plans retrieval, grades results, reformulates queries, and self-checks answers to improve grounding.

September 4, 2026

by Balaji Venkatasubramaniyar

CORE

· 2,567 Views · 1 Like

MCP for Enterprise Tasks: Making the Rare Frequent Enough to Master

Agentic clients via MCP are a new human interface to old software. They are an appealing choice: they use native language. But it is not always the wise approach.

September 4, 2026

by Peter Verhas

CORE

· 2,354 Views · 1 Like

Why I Don't Want an LLM Generating Java Business Logic

Why do you need a DSL when an LLM generates business logic more than ever? To limit what generated code can do with allow-lists, not deny-lists.

September 4, 2026

by Peter Verhas

CORE

· 2,868 Views · 1 Like

Video and Audio as Knowledge Sources: Content Understanding in Microsoft Foundry IQ

Turn video and audio recordings into searchable, citable knowledge for Microsoft Foundry IQ using Azure Content Understanding, MarkItDown, and structured metadata.

September 4, 2026

by Jubin Soni, FBCS

CORE

· 1,977 Views · 2 Likes

Designing Safe Agent Permissions: Why Least Privilege Must Exist Outside the Model

AI agents need least-privilege permissions, scoped identities, and policy controls to safely execute actions without exceeding their intended authority.

September 4, 2026

by Igboanugo David Ugochukwu

CORE

· 2,821 Views · 1 Like

Enterprises Should Assume AI Agents Will Delete Their Production Base

AI agents will eventually take a destructive action your stack never planned for. Here are five ways to strengthen your identity strategy before agents find the gaps.

September 3, 2026

by Meir Wahnon

· 2,436 Views · 2 Likes

Making Running Optional: Scaling AI Agents on Kubernetes With Agent Substrate

Learn how an early-stage open-source project separates workload lifecycle from compute allocation for bursty, stateful, and massively concurrent AI workloads.

September 3, 2026

by Mayowa Fajobi

· 2,388 Views

Extracting Entities and Relationships From Engineering Documents With spaCy

Learn how to extract domain-specific entities and relationship triples from engineering documents using spaCy, custom entity rules, and Python.

September 2, 2026

by Sriharsha Makineni

· 2,430 Views · 2 Likes

Golden Prompts: Turning AI Prompting into an Engineering Practice

Golden prompts turn ad hoc AI prompting into reusable, governed engineering assets for consistent, secure, high-quality outcomes.

September 2, 2026

by Josephine Eskaline Joyce, Ph.D

CORE

· 2,473 Views · 1 Like

Beyond Agent-Washing: The Engineering Principles Behind Production-Ready AI Agents

Enterprise AI agents need secure execution boundaries, deterministic logic, identity, governance, and auditing—not just intelligent models—to safely act in production.

September 2, 2026

by Igboanugo David Ugochukwu

CORE

· 2,700 Views

Enterprise Architecture in the AI Era: Tools, Capabilities, and the Road to Autonomy

EA tools centralize business and IT data to improve alignment, governance, decision-making, and portfolio management while enabling AI-driven automation.

September 1, 2026

by Dr Gopala Krishna Behara

CORE

· 4,231 Views · 3 Likes

Your Quantized LLM Is Not Slow Because of the Quantization

My 2-bit model was slow because of a 778 MB memory copy per token, not the quantization. Profile what you did not compress.

September 1, 2026

by Pier-Jean MALANDRINO

CORE

· 2,375 Views

The Latest AI/ML Topics