Logo Fluid topics.

Build The Knowledge Base
That Powers Your RAG

Most enterprises have great content. The problem is it’s scattered, stale, and invisible to AI.

Your documentation drives AI—if it’s connected. Fluid Topics provides the AI-ready knowledge base that powers RAG retrieval, enabling grounded, reliable answers.

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    Transform fragmented docs into a unified knowledge layer for AI

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    Ensure reliable RAG retrieval with structured, enriched content

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    Control access and permissions across all knowledge

Ask our team for a demo
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Trusted by leading companies

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Siemens-Logo
Hexagon
logo vaisala
Precisely_wordmark_rgb_purple
Logo swissqprint
Ateme cropped-logo
Genetec-Logo_RGB_Color
Logo Dayforce.
Logo Johnson Controls.
Teradata_logo_2024
jfrog logo
Logo Darwinbox.
Logo Liebherr.
kone logo
Hitachi Vantara Logo White

Your AI Is Only As Good As
The Knowledge Behind It

Without Fluid Topics

Your LLM hallucinates because it has no trusted source of truth to retrieve from

Documentation lives in 12 different tools — none indexed, none AI-ready

RAG retrieval returns irrelevant chunks because content isn’t structured for it

Your chatbot gives outdated answers the moment your docs are updated

Support teams are flooded with tickets that AI should have handled

With Fluid Topics

Every AI answer is grounded in verified documentation — zero hallucinations, full source traceability

All enterprise content unified into one AI-ready knowledge base in days, not months

Content is enriched, chunked, and indexed specifically for high-precision RAG retrieval

Real-time sync means your chatbot always answers from your latest published content

65% of cases deflected — users get answers instantly, support teams focus on what matters

The Knowledge Layer
Your RAG Has Been Missing All Along

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Connect any content source, instantly

With out-of-the-box connectors for CCMS, DITA, HTML, PDF, SharePoint, Confluence, and more, Fluid Topics unifies every format into a single, structured, AI-ready knowledge base — no custom pipelines, no engineering sprints.

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Structure content specifically for RAG

Content is semantically chunked, enriched with metadata, and embedded for precision retrieval. The result: your LLM always gets the most relevant, well-structured context — not random paragraphs.

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Access control flows through every answer

Role-based permissions are enforced at the retrieval layer. Users only receive answers derived from content they’re authorized to see — compliant by design, not by patch.

Built For Teams With Complex Technical Products

+65%


cases deflected through the RAG chatbot

+42%


greater accuracy in answering employee questions

5 million


visits on their AI knowledge bases

Want to try it yourself?

Stop letting your enterprise content sit unused while your LLMs hallucinate. Build the RAG knowledge base that makes your AI accurate, trusted, and production-ready.