White papers

Guides for teams shipping AI.

How agentic search, retrieval and support agents are actually put together — the architecture, the decisions that matter, and the places teams lose months. No maturity models, no vendor theatre.

3 guides · Free PDFs · One click to unsubscribe

  • Cover of the white paper “Improve Your Search with Agentic AI”

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    Improve Your Search with Agentic AI

    Most businesses still run a keyword search bar over a catalogue that customers describe in plain language. The gap between the two is lost revenue — every day. This guide shows how to move from keyword matching to natural-language search, and how to deploy a production-grade Product Search Agent in days, not months.

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  • Cover of the white paper “Improve Your Knowledge Base with AI Agents & RAG”

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    Improve Your Knowledge Base with AI Agents & RAG

    Your team's knowledge is scattered across docs, wikis, and tickets — and answers stay locked away until someone goes digging. This guide shows how Retrieval-Augmented Generation turns that knowledge base into an AI agent that answers in plain language, cites its sources, and stays current, so your team finds what they need in seconds instead of hours.

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  • Cover of the white paper “Improve Your Customer Support with AI Agents”

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    Improve Your Customer Support with AI Agents

    Support queues grow faster than headcount, and every minute a customer waits chips away at trust. Most teams paper over the gap with canned macros and after-hours auto-replies that never actually resolve the issue. This guide shows how AI agents handle the repetitive tickets end to end, escalate the ones that need a human with full context, and give your team back the hours they spend on copy-paste answers.

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Behind the guides

The platform these papers describe. You can start it today.

Retrieval, tool calls, model switching, tracing — every pattern in here is something SentientOne already runs, so you can read the guide and then skip the build.

One endpoint

POST /v1/chat/stream carries every agent, model and tool. Conversation history, retries, rate limits and token accounting sit behind it.

Any model, no rewrite

GPT-4o, Claude, Gemini, Llama, Mistral, Groq, Azure OpenAI. The model is a setting on the agent, so switching provider is a dropdown.

A trace on every call

OpenTelemetry spans with tokens, latency and cost, so a bad answer is something you read back rather than guess at.

Read it today. Ship it this week.

Start the trial and build the agent the guide describes — configured in a dashboard, answering real questions, traced end to end.

14 days free · No credit card · Bring your own model keys