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The Latest Popular Topics

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Building a Vector Index in Azure AI Search: HNSW, Profiles, and RAG Retrieval
Use Azure AI Search as your RAG vector store. Build a Python example: define an HNSW vector index, upload embeddings, and run k-NN queries.
June 15, 2026
by Jubin Soni, FBCS DZone Core CORE
· 1,271 Views
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Engineering Closed-Loop Graph-RAG Systems, Part 4: Evaluating a Graph-RAG System
Graph-RAG accuracy is only the starting point; evaluate the evidence path, rule compliance, latency, and feedback loop before calling it production-ready.
June 15, 2026
by Sriharsha Makineni
· 1,421 Views
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AI Assessments Are Everywhere
AI readiness assessments can spark valuable discussions, but self-reported scores have limits. Learn how to evaluate and apply them effectively.
June 12, 2026
by Rick Freedman
· 2,501 Views · 2 Likes
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Operationalizing Enterprise AI at Scale: Architecture, Governance, and Adoption
Enterprise AI success depends on scalable architecture, governance automation, AI operations, observability, and developer-first enablement strategies.
June 12, 2026
by Aravind Nuthalapati DZone Core CORE
· 2,561 Views · 3 Likes
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A Spring Boot App With Half the Startup Time
Learn how Project Leyden and AOT caching can cut Spring Boot startup time in half, improving Kubernetes scaling and application responsiveness.
June 12, 2026
by Sven Loesekann
· 3,585 Views · 3 Likes
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Implementing the Planning Pattern With Java Enterprise and LangChain4j
Learn how to implement the Planning Pattern with Enterprise Java, Jakarta EE, CDI, and LangChain4j, enabling AI to transform business goals into executable workflows.
June 12, 2026
by Otavio Santana DZone Core CORE
· 2,442 Views · 1 Like
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Engineering Closed-Loop Graph-RAG Systems, Part 3: Closing the Loop in Graph-RAG Systems
Closed-loop RAG needs feedback routing, not blind learning. Route signals carefully so the system improves without reinforcing bad answers.
June 12, 2026
by Sriharsha Makineni
· 1,666 Views
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How to Build a Local LLM Agent to Automate Work List Generation from Monthly Reports (With Jira Integration)
Learn how a local LLM agent automates work list generation from reports, enriches tasks from Jira, detects duplicates, and keeps enterprise data secure.
June 11, 2026
by Sergey Laptick
· 2,891 Views · 2 Likes
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Native SQL in Java Without JDBC Boilerplate — Meet Ujorm3
Ujorm3 eliminates JDBC boilerplate without a full ORM. Write native SQL with named parameters, get objects back — including nested relations.
June 11, 2026
by Pavel Ponec
· 2,708 Views · 5 Likes
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If You Can Survive a Toddler, You Can Ship LLMs in Production
A silent provider update once invalidated months of LLM scores in a pipeline I owned. Here is what I changed after, and how parenting taught me the same lesson twice.
June 11, 2026
by Scarlett Attensil
· 1,873 Views
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Rust-Native Alternatives to Spark SQL and DataFrame Workloads
Sail is an open-source computation framework that serves as a drop-in replacement for Apache Spark (SQL and DataFrame API) in both single-host and distributed settings.
June 11, 2026
by Srinivasarao Rayankula
· 2,892 Views · 3 Likes
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The AI Autonomy Spectrum: 7 Architecture Patterns for Intelligent Applications
AI integration is more than agents and prompts. Explore seven architectural patterns to choose the right level of autonomy for enterprise applications.
June 11, 2026
by Otavio Santana DZone Core CORE
· 1,671 Views · 1 Like
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Can We Build Elite Search Agents Without Massive Industrial RL Pipelines?
OpenSeeker-v2 is intended to push the limits of search agents working with informative and also high-difficulty trajectories.
June 11, 2026
by mike labs
· 1,551 Views
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Engineering Closed-Loop Graph-RAG Systems, Part 2: From Prompts to Rules
LLMs generate convincing recommendations, but convincing isn't the same as compliant. Here's how rule-augmented generation fixes that.
June 11, 2026
by Sriharsha Makineni
· 1,333 Views
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Give Your AI Assistant Long-Term Memory With perag
Perag is a local, no-cloud private RAG tool that gives your AI assistant searchable access to your personal document archive via UNIX pipes and JSON.
June 10, 2026
by Peter Verhas DZone Core CORE
· 2,744 Views · 1 Like
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The Documentation Crisis Nobody Sees: Why AI Agents Are Breaking Faster Than Humans Can Document Them
Production AI failures often stem from undocumented behavior. Learn about AIDF, a framework for defining agent decisions, boundaries, and accountability.
June 10, 2026
by Igboanugo David Ugochukwu DZone Core CORE
· 2,694 Views · 1 Like
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Engineering Closed-Loop Graph-RAG Systems, Part 1: From Retrieval to Reasoning
Flat RAG handles lookups; it fails at relationship-aware reasoning. Here's when to move from vector retrieval to Graph-RAG.
June 10, 2026
by Sriharsha Makineni
· 1,751 Views · 1 Like
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5 Failure Patterns That Break AI Chatbots in Production
A field guide to what actually breaks AI chatbots in production, with code patterns and architectural fixes for each failure mode.
June 10, 2026
by Yash Vibhandik
· 1,692 Views
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I Was Tired of Flying Blind With AI Agents, So I Built AgentDog
A lightweight Python toolkit to test AI agent behavior, catch drift, and validate tool use, grounding, safety, and efficiency before production.
June 10, 2026
by Sai Teja Erukude
· 3,341 Views
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A Deep Dive into Tracing Agentic Workflows (Part 2)
Tracing agentic systems uses hierarchical IDs to form a System DAG, exposing performance and cost issues. Observer agents automate diagnosis and system self-correction.
June 10, 2026
by VIVEK KATARYA
· 1,520 Views · 1 Like
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