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---title: "Data & Knowledge Engineering for AI | AppStream Studio"description: "Turn scattered institutional knowledge into context AI can reason over. Retrieval pipelines, semantic search, and knowledge governance grounded in your data."url: https://appstream.studio/solutions/agent-knowledge-layermarkdown_url: https://appstream.studio/solutions/agent-knowledge-layer.md--- 1. [Solutions](https://appstream.studio/solutions.md)2. [Engineer](https://appstream.studio/solutions/engineer.md)3. Agent Knowledge Layer Agent Knowledge Layer # AI is only as good as what it knows about your business. Without your context, a model guesses. We build the knowledge and retrieval layer that gives AI your documents, your data, and your terminology, with permissions and citations intact. [Talk to an AI engineer](https://appstream.studio/schedule-a-discovery-call.md) · [Explore Engineer](https://appstream.studio/solutions/engineer.md) [Part of 02 Engineer Turn possibility into production. Data & knowledge engineering](https://appstream.studio/solutions/engineer.md) Where this sits in the lifecycle 1. [01 Advise](https://appstream.studio/solutions/advise.md)2. [02 Engineer You are here](https://appstream.studio/solutions/engineer.md)3. [03 Operate](https://appstream.studio/solutions/operate.md)[Govern Runs across all three](https://appstream.studio/solutions/govern.md) The problem ## Ungrounded AI invents policy numbers and product names and states them confidently. The fix usually isn’t a bigger model. It’s better retrieval. - Confident answers that turn out to be wrong- Institutional knowledge trapped in PDFs, wikis, and people- Search that matches words but misses meaning- No control over what AI is allowed to read How we work ## Four steps. One team the whole way. 1. 01### Audit the knowledgeMap the documents, databases, and systems that hold what the AI needs to know, and what it should never see.2. 02### Design retrievalChunking, embeddings, hybrid search, and reranking tuned to how your people actually ask.3. 03### Ground the answersResponses built from your verified sources, with citations back to them.4. 04### Govern the lifecycleVersioning, access control, and freshness rules, so knowledge stays accurate as it grows. What’s included ## What agent knowledge layer covers. In practice. - ### Semantic search & retrievalSearch that understands meaning and context, not just keywords.- ### Retrieval architectureStorage and indexes designed for your data volume, query patterns, and latency.- ### Grounded generationAnswers drawn from your proprietary data instead of a model’s training data.- ### Data fusionDocuments, databases, APIs, and knowledge bases unified into one layer AI can query.- ### Knowledge governanceVersioning, access control, and freshness policies that keep it accurate and compliant.- ### Domain tuningRetrieval tuned to your vocabulary, because “discharge” means one thing in healthcare and another in finance. What you can hold us to ## Commitments. Not marketing ranges. What the knowledge layer commits to; accuracy is measured on your own questions during the build. answers Cited Responses link back to the source they came from aware Permission People only retrieve what they’re already allowed to see for all your AI 1 layer Documents, databases, and APIs behind one queryable layer Go deeper ## More under Engineer, and beyond. - [Engineer Turn possibility into production. Build the applications, agents, integrations, and data infrastructure that put AI inside real business workflows.](https://appstream.studio/solutions/engineer.md)- [Agent Engineering Agents that do the work inside your systems, not beside them.](https://appstream.studio/solutions/agent-engineering.md)- [AI-Enabled Custom Development Custom software, built faster, and billed that way.](https://appstream.studio/solutions/ai-enabled-custom-development.md)- [Agent Strategy Know which workflows AI should take on first, before you fund the build.](https://appstream.studio/solutions/agent-strategy.md)- [Forward-deployed engineers However you start, our engineers embed with your team: your Slack, your repo, your standups.](https://appstream.studio/forward-deployed-engineers.md) ## Bring us your document sprawl. We’ll make it answerable. Policies in one system, contracts in another, the rest in people’s heads. Tell us where it lives and we’ll show you what it takes for AI to answer from it, with citations. [Talk to an AI engineer](https://appstream.studio/schedule-a-discovery-call.md) · [See our work](https://appstream.studio/case-studies.md) --- ## AppStream Studio AppStream turns frontier AI capabilities into production systems that perform real work. Talk to an AI engineer: https://appstream.studio/schedule-a-discovery-call · Email: contact@appstream.studio - [Home](https://appstream.studio/index.md)- [Solutions](https://appstream.studio/solutions.md)- [Advise](https://appstream.studio/solutions/advise.md)- [Engineer](https://appstream.studio/solutions/engineer.md)- [Operate](https://appstream.studio/solutions/operate.md)- [Govern](https://appstream.studio/solutions/govern.md)- [How we work](https://appstream.studio/how-we-work.md)- [Work (case studies)](https://appstream.studio/case-studies.md)- [Industries](https://appstream.studio/industries.md)- [Insights](https://appstream.studio/blog.md)- [Partners](https://appstream.studio/partners.md)- [About](https://appstream.studio/about-us.md)- [Contact](https://appstream.studio/contact.md) Agents are becoming a second user of your software. Readable content is the start. Scoped, auditable access for agents to act is the next step.
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