This is what an AI agent reads. Same page, second kind of user.

1---
2title: "Knowledge Agents: Cited Answers From Your Data | AppStream Studio"
3description: "Knowledge agents retrieve, ground, cite, and synthesize answers across your enterprise data, respecting existing permissions. Engineered and operated by AppStream."
4url: https://appstream.studio/solutions/agents/knowledge-agents
5markdown_url: https://appstream.studio/solutions/agents/knowledge-agents.md
6---
7 
81. [Solutions](https://appstream.studio/solutions.md)
92. [Engineer](https://appstream.studio/solutions/engineer.md)
103. Agent types
114. Knowledge Agents
12 
13Knowledge Agents
14 
15# Answers from your own knowledge, with the source attached.
16 
17Your team has the information, spread across wikis, drives, tickets, and warehouses. They can’t find it fast enough, or trust it when they do. Knowledge agents retrieve, ground, cite, and synthesize across all of it. We engineer them, and we run them in production.
18 
19[Talk to an AI engineer](https://appstream.studio/schedule-a-discovery-call.md) · [Explore Engineer](https://appstream.studio/solutions/engineer.md)
20 
21[Part of 02 Engineer Turn possibility into production. Data & knowledge engineering](https://appstream.studio/solutions/engineer.md)
22 
23Where this sits in the lifecycle
24 
251. [01 Advise](https://appstream.studio/solutions/advise.md)
262. [02 Engineer You are here](https://appstream.studio/solutions/engineer.md)
273. [03 Operate](https://appstream.studio/solutions/operate.md)
28[Govern Runs across all three](https://appstream.studio/solutions/govern.md)
29 
30The frontier capability behind it
31 
32## Agents are the mechanism. The capability is the point.
33 
34- ### Reasoning systems
35Models work through policy, rules, and edge cases, and show how they reached the answer.
36Where it lands Eligibility, underwriting, compliance review
37- ### Multimodal AI
38Documents, images, and forms become structured data without anyone keying them in.
39Where it lands Invoices, medical records, field photos
40 
41The problem
42 
43## The problem isn’t a lack of data. It’s finding and trusting it. Wikis go stale, shared drives become graveyards, and generic AI fills the gaps with confident guesses.
44 
45- Knowledge spread across five or more systems searched separately
46- Generic AI tools that invent answers to domain questions
47- Stale documents nobody knows not to trust
48- Compliance and legal needing every answer cited
49 
50How we work
51 
52## Four steps. One team the whole way.
53 
541. 01
55### Map the knowledge
56Audit where answers live, what to ground the agent in, and what to keep out.
572. 02
58### Design retrieval
59Chunking, embeddings, hybrid search, and reranking tuned to how your people actually ask.
603. 03
61### Engineer it in
62Wired into your identity, your data, and your audit log, with citations from day one.
634. 04
64### Govern and tune
65Watch what’s asked, what’s cited, and what’s drifting, and keep the corpus current.
66 
67What’s included
68 
69## What knowledge agents covers. In practice.
70 
71- ### Hybrid retrieval
72Vector search, keywords, and reranking, tuned to what works on your data.
73- ### Citation-first design
74Every answer comes with its source, so it can be checked.
75- ### Permission-aware
76Your existing access controls apply to what the agent can read.
77- ### Multi-source synthesis
78One question answered across wiki, SharePoint, Salesforce, and the warehouse at once.
79- ### Freshness tracking
80Stale documents are flagged, and low-confidence answers go to a person.
81- ### Domain tuning
82Retrieval and prompts tuned to your vocabulary, not generic web language.
83 
84What you can hold us to
85 
86## Commitments. Not marketing ranges.
87 
88What every build commits to. Performance is measured on your own work during the engagement, not quoted from industry ranges.
89 
90every answer
91 
92Cited
93 
94Links, pages, and passages back to the source
95 
96aware
97 
98Permission
99 
100People only retrieve from documents they can already see
101 
102when it doesn’t know
103 
104Says so
105 
106Low-confidence questions route to a subject expert
107 
108Go deeper
109 
110## Other kinds of work agents take on.
111 
112- [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)
113- [Workflow Agents Take the manual workflow off your team, step by step.](https://appstream.studio/solutions/agents/workflow-agents.md)
114- [Customer-Facing Agents Resolve the request, not just reply to it.](https://appstream.studio/solutions/agents/customer-facing-agents.md)
115- [Multi-Agent Systems For the process that crosses systems, teams, and decision rights.](https://appstream.studio/solutions/agents/multi-agent-systems.md)
116- [Agent operations Once it’s live, someone has to own it. How we run agents in production and keep them improving.](https://appstream.studio/solutions/agent-operations.md)
117 
118## Bring us your documentation. We’ll make it answer.
119 
120Wherever the answers actually live: wikis, PDFs, ticket history, someone’s head. We’ll show you what it takes to get cited answers out of it.
121 
122[Talk to an AI engineer](https://appstream.studio/schedule-a-discovery-call.md) · [See our work](https://appstream.studio/case-studies.md)
123 
124---
125 
126## AppStream Studio
127 
128AppStream 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
129 
130- [Home](https://appstream.studio/index.md)
131- [Solutions](https://appstream.studio/solutions.md)
132- [Advise](https://appstream.studio/solutions/advise.md)
133- [Engineer](https://appstream.studio/solutions/engineer.md)
134- [Operate](https://appstream.studio/solutions/operate.md)
135- [Govern](https://appstream.studio/solutions/govern.md)
136- [How we work](https://appstream.studio/how-we-work.md)
137- [Work (case studies)](https://appstream.studio/case-studies.md)
138- [Industries](https://appstream.studio/industries.md)
139- [Insights](https://appstream.studio/blog.md)
140- [Partners](https://appstream.studio/partners.md)
141- [About](https://appstream.studio/about-us.md)
142- [Contact](https://appstream.studio/contact.md)
143