Education • Engagement • Efficiency • Excellence

Finally AI chatbots you can rely on.

For knowledge-intensive use cases, you need a RAG-as-a-Service solution that you can trust. Give your stakeholders useful and accurate results, with effective guardrails.

A GenAI SaaS Solution by

The experts in data preparation for Retrieval Augmented Generation

The Chamomile.ai Difference

Retrieval Augmented Generation
that just works.

RAG is a proven architecture for Generative AI, but reliability and trustworthiness can be elusive. Our solution delivers RAG chatbot applications that you can rely on.

Reliable Results

Our obsession over high quality RAG translates to reliable and trusworthy results for your use case.

Batteries Included

Our end-to-end solution provides you with peace of mind. You bring your knowledgebase. We bring the results.

Cost Efficient

We take care of model selection and optimization, and absorb all token costs, aligning our economics with yours.

Agile Compliance

Architected for security and compliance, against emerging threats, and changing regulatory requirements.

Fast Integration

Our front-end and API is optimised for rapid deployment, deployed on Single Page Application SaaS sites.

Trusted Advisors

Engagements may include consulting and fractional services, to find the right solution to the right problem.

Enjoyable And Useful

Engagement for users.

Maintaining user interest is key to drive learning and change, so Infusion constantly strives to provide engagement-enhancing experiences to encourage not just active usage, but active participation.

Easy to use steering controls to adjust prompt response
Suggested questions aid topic exploration
Figures like mindmaps and block diagrams support visual learners and promote usage

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Reliable and Trustworthy

Confidence for providers.

As a host and provider of a knowledgebase, you you need AI chatbots that will authentically project your voice, to build on your credibility with your users, safely scaling your impact.

Quarantine feature reduces risk of data or PII leakage breach
Flexible, transparent, and unobtrusive disclaimers mechanism
Benefit from our ongoing research into trust and safety, including hallucination mitigation

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Faq’s

Frequently Asked
Question

Infusion is easy to customise and easy to integrate, especially once you grasp some fundamental concepts.

Q. What is Retrieval Augmented Generation?

Retrieval Augmented Generation (RAG) is a technique for creating Generative AI experiences with Large Language Models (LLMs) that incorporate proprietary knowledgebases and datasets. Think 'Custom GPTs'. For a more comprehensive explanation click here.

Q. What is RAG-as-a-Service?

RAG-as-a-Service provides a platform for creating Retrieval Augmented Generation (RAG) -based applications with no infrastructure or database setup required. Infusion is a modular RAG-as-a-Service that includes a front-end chatbot, but the architecture is designed with an 'API-first' approach, making Infusion especially easy to integrate into existing SaaS solutions.

Q. Can you use my enterprise models?

By default we do not expose model selection and implementation details because we want to deliver outcomes, not technical debt. Having control over model selection and having token consumption for your use cases be our expense aligns incentives and ensures we deliver good outcomes with efficiency.

This is in contrast to some other providers who ask you to supply your own OpenAI API key to use their services, which means they have no incentive to drive efficiency.

That said, architecturally, our system can integrate with your chosen LLM endpoint such as Azure if this is a requirement.

Q. What document formats do you accept?

We accept all major document formats, and the list is ever increasing. Esoteric formats may require a surcharge due to additional handling complexity.

Q. What supporting services do you provide?

Infusion is currently backed by Australian Eastern Standard Time (AEST) business hours support.

In addition to this, our team often serves in a consulting capacity to companies big and small, from pre-MVP startups to established enterprises, in Australia, the US, and the UK.

The common thread in all our projects is that the use case requires confidence in the quality of responses, based on an established knowledgebase. If that sounds like your project, let's talk.

Pricing

Time Limited Promotion

Top-tier features at baseline price!

Pricing starts at $140 per month and scales up with feature set and capacity, but sign up before March 2025 to enjoy all enterprise-level features at baseline pricing.

Signup limits apply for this promotion, so get in touch today to lock-in promotional pricing.

Pricing starts at $140 per month
Free PoC consulting included

RAG R&D Notes

Our recent news & insights

RAG

Effective RAG evaluation

Jordan M. and Tirath R.

Dec 12, 2024

Evaluating RAG performance requires an integrated approach.

Chatbots

Improving chatbot experience

Tirath R.

Jun 6, 2024

Rate-limiting can improve chatbot experience.

RAG

Data preprocessing for RAG

Jordan M. and Tirath R.

Feb 22, 2024

Preprocessing of source documents can improved RAG performance; a one-off load-time cost produces a repeated query-time gain. We discuss one preprocessing approach: propositional chunking.

Request Your
Demo Today.

Achieve outcomes in engagement and learning, use Infusion to animate your knowledgebase.

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Free PoC consulting.
Pricing starts at $140 per month.
30 days free usage.

A RAG-as-a-Service and AI chatbot platform by

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Need Support?

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+613 9123 4273