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Enterprise RAG & retrieval

Give every agent
the context it needs.

A complete enterprise RAG and retrieval layer for complex documents, changing knowledge and expert judgment. Parse, index and retrieve in one stack, with evaluation and improvement built in.

One context layer

Your knowledge in.
Relevant context out.

Use retrieval as a service with your existing application, or deploy end-to-end RAG. Keep the models and deployment environment that fit your business.

What changes for your team
Faster time-to-value

Reach useful accuracy sooner.

Start with parsing, retrieval and evaluation already connected.

Lower maintenance costs

Less time fixing. Less expert effort.

Keep approved corrections alongside source content, reducing repeat investigations.

Less token waste

Spend tokens on answers, not retries.

Retrieve focused, approved context instead of padding every prompt with loosely relevant chunks.

Direct business ownership

Let the people who know own the fix.

Let domain experts enrich the context their applications retrieve.

Domain expertise captured

Keep the facts. Keep the know-how.

Combine documented facts with expert interpretations and practical procedures.

Built for enterprise knowledge

Meaning survives
the journey to your model.

Complex documents

Preserve structure in long documents, scans, tables, charts and images.

Searchable context

Combine textual and multimodal embeddings with metadata and source provenance.

Relevant retrieval

Use lexical, semantic and multimodal signals, rank fusion and scoped retrieval.

The pipeline.
The operating tools.
Already connected.

01

Parse

Extract meaning from complex layouts and long documents, including visual content.

02

Embed & index

Organise text and multimodal content with metadata, scope and provenance.

03

Retrieve

Find relevant context with semantic, lexical and multimodal signals.

04

Evaluate & enrich

Review weak answers and make approved expert contributions reusable.

Two ways to start

Use the layer
your application needs.

Retrieval as a service

Connect your knowledge sources and call Syllotips for relevant context. Keep your existing agent, orchestration and chosen models.

Explore

End-to-end enterprise RAG

Deploy the complete knowledge pipeline, retrieval, evaluation and expert improvement loop as a connected software stack.

Explore
Context that improves through use

The next question
makes it better.

No document collection contains every exception your business will face. Syllotips identifies the gap, brings in the expert and returns the validated contribution to retrieval.

Explore the improvement loop
Your existing environment
Copilot StudioLangGraphCustom agents
Production interactions ↓↑ Approved knowledge & guidance
SyllotipsEvaluate · Diagnose · Teach · Retain
Review the right cases ↓↑ Validate the correction
Domain expertsMicrosoft TeamsSyllotips web app

Your models, systems and knowledge base stay in place.

Your models.
Your deployment.

Deeply connected to Microsoft.

Copilot Studio for agents. Teams for experts. SharePoint for knowledge. Available through Azure Marketplace.

Explore integrations

Governed by your business.

Expert validation, controlled access and traceable contributions. SOC 2 Type II and ISO 27001 assurance. ACN QC1 qualified SaaS service.

Visit the trust centre

Deployed on your terms.

Use your chosen models. Run as SaaS, in a private cloud or fully on-premises to match your environment.

Deployment options
EOLO

Proven in daily support.

−40%

Level-2 escalations

+22%

First contact resolution

−18%

Average handling time

Bring your hardest document.
And the question it should answer.

Bring a real agent or workflow. We’ll show you where Syllotips fits, what it can improve, and how to get started.

Book a demo
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