Technology

A focused review of enterprise AI technologies and architectures, from language models, RAG and AI agents to MCP, A2A, on-premise deployment, security and controlled connections to organizational data and systems.

Technology topics

Reranking RAG search results

Understand two-stage retrieval, Cross-Encoder reranking and the practical trade-off between evidence quality, candidate coverage, latency and cost.

Incremental indexing and document deletion

Track document changes, stable identifiers, obsolete chunks and access updates so your RAG index stays aligned with its source throughout the content lifecycle.

Enterprise language-model routing

Route requests by data policy, task quality, latency and cost, with measurable acceptance criteria and fallback paths that preserve the same access boundaries.

What is a computer-use agent?

How agents interact with software and which enterprise controls they need.

What is an AI sandbox?

An isolated environment for AI agents, generated code and controlled tool execution.

Agent observability: monitoring AI agents

Tracing tool calls, tokens, latency and errors across production agent tasks.

What is A2UI? Interfaces for AI agents

Structured, interactive and controlled interfaces generated by AI agents.

What is Agentic RAG? Multi-step search

Multi-step Retrieval, Agent decisions and enterprise knowledge use cases.

What is MCP? AI and enterprise tools

An open standard for controlled AI-agent access to organizational tools, data and services.

What is A2A? Communication between AI agents

A protocol for agent collaboration, task delegation and result exchange.

What is On-Premise AI?

Deploying models internally for greater control over processing, networks and data flows.

Connect AI to your organization’s knowledge and workflows

With Aivan, approved documents, data and systems can power intelligent assistants and workflows.

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