Agentic RAG · August 3, 2026
RAG vs agentic RAG: when the control loop is worth it
RAG vs agentic RAG compared on retrieval quality, latency, cost, reliability, and task fit, with a practical rule for choosing an architecture.
The archive
Technical analysis for people building the next layer of software.
Trace Brief treats AI agents as systems rather than product labels. The archive follows the parts that determine whether an agent works in production: model and runtime choices, retrieval, memory, tool protocols, identity, evaluation, security controls, and recovery from failure. Each field guide starts with a concrete engineering question, separates demonstrated capability from vendor claims, and links technical conclusions to primary documentation or research.
Use the architecture guides when you are defining boundaries between models, tools, state, and human approval. Protocol explainers are for teams deciding how agents should discover capabilities or communicate across systems. The security and operations articles focus on permissions, traceability, evidence, and failure handling. If you are comparing two approaches, begin with the constraint that matters most—latency, reliability, control, or interoperability—then follow the related links inside each article instead of choosing a stack from feature counts alone.
Agentic RAG · August 3, 2026
RAG vs agentic RAG compared on retrieval quality, latency, cost, reliability, and task fit, with a practical rule for choosing an architecture.
Agent security · August 3, 2026
MCP security architecture for production: secure server installation, tool approval, HTTP sessions, OAuth tokens, downstream access, and audit evidence.
Agent control · August 3, 2026
Human in the loop AI agents need durable approval gates. Learn when to pause, what reviewers need, and how to resume one authorized action safely.
Agentic RAG · August 3, 2026
Building RAG agents with LLMs takes more than a retriever tool. Follow a testable path from fixed baseline to bounded production loop.
Agent operations · August 3, 2026
AI agent observability turns each run into linked traces, metrics, and protected evidence. Learn what to capture, alert on, retain, and review.
Contact center AI · August 3, 2026
AI agent assist turns live conversations into grounded guidance. See how to design retrieval, approval, rollout tests, and contact center measurement.
Agentic RAG · August 3, 2026
Agent RAG architecture explained as a bounded retrieval loop, with components, control decisions, failure modes, and production tradeoffs.
Agent interoperability · August 3, 2026
A2A vs MCP compared by protocol role, message model, task lifecycle, discovery, and trust boundary, with a practical guide to using one or both.
Agent interoperability · August 3, 2026
A2A protocol tasks vs messages difference, when to use each, how to handle input and auth pauses, and where durable artifacts belong.
Computer use agents · August 2, 2026
Learn how the UI-TARS desktop agent sees and controls a computer, choose a model setup, and limit screenshot, credential, and action risks.
Data agents · August 2, 2026
Building an AI agent with Snowflake starts with governed data, focused tools, least-privilege roles, and tests for routing and answer failures.
Vertical agents · August 2, 2026
An AI real estate agent can search, draft, and follow up, but housing law and transaction risk keep pricing, advice, and approvals with people.
Industrial agents · August 2, 2026
Use AI agents in industrial control systems for bounded engineering and operations work without placing probabilistic decisions inside safety loops.
Agent market · August 2, 2026
Track AI agent startup funding 2026 with primary-source checks that separate round size, total funding, valuation, and product focus.
Agent security · August 2, 2026
Trace AI agent identity and attestation for programmatic access from 2018 to 2026, then apply a practical model for delegation and audit.
Agent architecture · August 2, 2026
Understand the AI agent ecosystem in 2026: models, memory, MCP, orchestration, evaluation, security, and production operations.
Agent frameworks · August 2, 2026
Explore Agent Zero AI SKILL.md features, learn how discovery and pinning work, and build a focused, portable skill with safer defaults.