Connect documents, support content, and business information into organized, AI-ready knowledge bases.
AI
Tricore RAG CMS
For intelligent knowledge
AI-Powered Knowledge Management Platform
Turn your knowledge
into an intelligent AI assistant.
Built on your data.
Tricore RAG CMS helps businesses build and manage multiple AI agents using their own documents, support content, and knowledge bases. Configure agents, track performance, and give every conversation answers grounded in cited source material.
Connect. Configure. Retrieve. Answer.
YOUR AGENTS, AT A GLANCE
01 / Overview Dashboard
Choose a model, assign a knowledge base, and tune retrieval settings for each agent you deploy.
Monitor sessions, response time, satisfaction, and review full conversation histories with cited sources.
Inside the platform
From raw information
to intelligent answers.
Follow the workflow from monitoring and agent configuration
to knowledge management and cited conversations.
Product screens are presented as platform previews with sample data.
01
Performance Dashboard
See how every agent
is performing, at a glance.
A single overview surfaces total sessions, average response time, satisfaction rate, and how often an agent lacks the context to answer — alongside live activity across all agents.
- Session, response-time, and satisfaction metrics
- No-context rate to spot knowledge gaps
- Live status for every active and draft agent
- Recent activity and session feed
02
Agent Configuration
Configure each agent
to fit the job.
Create as many agents as you need, each with its own model, knowledge base, and retrieval settings — then test changes instantly in a built-in sandbox before publishing.
- Choose an LLM provider per agent (GPT-4o, Claude, Gemini, and more)
- Assign a dedicated knowledge base
- Tune temperature, top-K retrieval, and similarity threshold
- Edit system prompt and fallback message, with live test chat
03
Knowledge Base Management
Organize the sources
your agents draw from.
Maintain separate knowledge bases for different use cases, add sources by upload, URL, or plain text, and monitor indexing status down to the individual file.
- Multiple knowledge bases, each reused across agents
- Upload PDF, DOCX, TXT, MD, CSV, or XLSX files
- Add sources from a URL or pasted plain text
- Per-source chunk counts, size, and ready/indexing/failed status
04
Chat History & Citations
Review every conversation,
with sources attached.
Every session is logged and searchable, with each AI response linked back to the exact document and page it came from — so answers stay traceable and easy to audit.
- Searchable session history across all agents
- Resolved / unresolved status and user ratings
- Inline citations back to source file and page
- Export or delete individual sessions
How it works
From your knowledge
to intelligent answers.
Tricore RAG CMS connects your existing information with semantic retrieval and configurable AI agents to create knowledge-driven assistants.
Upload documents or add URLs and plain text to build one or more searchable knowledge bases.
Pick a model, assign a knowledge base, and set retrieval and prompt behavior for the agent.
Users interact with the agent, which retrieves relevant knowledge to ground each response.
Every session is logged with citations back to the source document and page.
Track satisfaction, response time, and no-context rate to keep improving each agent.
A closer look
Is Tricore RAG CMS
a fit for your business?
Built for organizations that want to run multiple AI agents on their own knowledge, with clear visibility into how each one performs.
- Multi-Agent Management
- Create, configure, and publish multiple agents, each with its own model and knowledge base.
- Knowledge Base Sources
- Add PDF, DOCX, TXT, MD, CSV, or XLSX files, URLs, or plain text, and track indexing status per source.
- Retrieval Controls
- Tune temperature, top-K retrieval, and similarity threshold per agent for precise or exploratory answers.
- Cited Responses
- Every answer links back to the source file and page it was drawn from, right inside the chat history.
- Performance Analytics
- Monitor sessions, response time, satisfaction rate, and no-context rate across all agents.
- Session History
- Search, filter, review, export, or delete individual conversations, with resolved/unresolved tracking.
Built for AI-powered knowledge
Make information easier
to access and understand.
Tricore RAG CMS helps businesses run several purpose-built AI agents, each grounded in the right slice of their knowledge.
Help customers find answers from product documentation, support FAQs, and policies, with cited sources.
Give a sales assistant a dedicated knowledge base to answer plan, pricing, and feature questions.
Run separate agents for onboarding guides and legal or compliance content, drafted and reviewed before going live.
Good to know
A few common
questions.
What is Tricore RAG CMS?
Tricore RAG CMS is an AI-powered platform for building and managing multiple AI agents, each grounded in your own documents and knowledge bases.
What does RAG mean?
RAG, or Retrieval-Augmented Generation, combines information retrieval with AI generation. The system retrieves relevant knowledge and provides it as context to the AI model when generating an answer.
Can I run more than one agent?
Yes. You can create multiple agents — for support, sales, onboarding, or compliance — each with its own model, knowledge base, and settings, published or kept as a draft.
What file types can I add to a knowledge base?
Knowledge bases accept PDF, DOCX, TXT, MD, CSV, and XLSX files, as well as sources added by URL or pasted plain text.
Can I see where an answer came from?
Yes. Chat history shows each AI response with citations linking back to the specific source file and page it was retrieved from.
What retrieval settings can I control?
Each agent can be tuned with temperature, top-K retrieval, and a similarity threshold, alongside a custom system prompt and fallback message.
What do the dashboard metrics show?
The overview dashboard tracks total sessions, average response time, satisfaction rate, and no-context rate (how often an agent lacks the information to answer).
Can I test an agent before publishing it?
Yes. Each agent includes a sandbox test chat so you can try prompt and configuration changes before making the agent live.
Can I export or delete a conversation?
Yes. Individual sessions in chat history can be exported or deleted directly from the session view.
Build your AI knowledge system
Ready to turn your knowledge
into an intelligent assistant?
Share your knowledge sources, documentation, support content, customer use cases, and AI requirements. Tricore RAG CMS can provide the foundation for a searchable, contextual, and conversational knowledge experience.