Learning
Practical Aivan guides to RAG, AI agents, language-model security and other enterprise AI building blocks, with clear explanations of concepts, architectures and implementation considerations for safe and effective organizational use.
Practical guide
Structured outputs for enterprise AI
Design structured extraction with JSON Schema, validate business fields and evidence, and keep malformed or unsupported model output away from operational records.
Read full textHybrid search for enterprise documents
Combine lexical and vector retrieval for equipment codes and natural-language questions, then evaluate document relevance, access boundaries and grounded answers.
Read full textHuman approval for agent actions
Design reviewable agent approvals with explicit action previews, version-bound consent, expiry, durable state and protection against duplicate execution.
Read full textWhat is generative AI?
Generative-AI basics, enterprise use cases and the controls needed for dependable adoption.
Read full textWhat is multimodal AI?
How Multimodal AI combines text, images and audio for enterprise use cases.
Read full textAI Evals: evaluating models and agents
Repeatable evaluation of response quality, task success, safety and agent trajectories.
Read full textWhat is hallucination? AI model errors
Why models produce persuasive errors and how RAG, grounding and evaluation reduce risk.
Read full textWhat is RAG? AI for organizational knowledge
Sourced answers by connecting language models to real organizational documents and knowledge.
Read full textWhat is an AI Agent? Enterprise workflows
How agents use tools and systems to pursue organizational goals across multiple steps.
Read full textWhat is Prompt Injection? AI security
Attack types and risk-reduction principles for LLMs, RAG and agents.
Read full textConnect AI to your organization’s knowledge and workflows
With Aivan, approved documents, data and systems can power intelligent assistants and workflows.