About
When our client sought our expertise to develop a proof-of-concept AI assistant for tourists, we faced the challenge of navigating the fast-paced, ever-evolving landscape of AI tools. With many technologies too new to offer established reviews or reliable benchmarks, identifying the best fit for the project’s unique requirements demanded a strategic and innovative approach. Read more: pixion.co/blog Learning tool: learn-rag.pixion.co
Challenge, approach, and impact
Facing the challenges of emerging AI technologies
When our client sought our expertise to develop a proof-of-concept AI assistant for tourists, we faced the challenge of navigating the fast-paced, ever-evolving landscape of AI tools. With many technologies too new to offer established reviews or reliable benchmarks, identifying the best fit for the project’s unique requirements demanded a strategic and innovative approach.
Tackling AI development with a strategic top-down approach
To address this challenge, we adopted a top-down approach, designing a versatile Retrieval-Augmented Generation (RAG) data ingestion and retrieval pipeline that could adapt to virtually any business need without being tied to a specific LLM. We also developed an enterprise-ready, scalable cloud solution to support the application's growth and evolving requirements. To contribute to the community, we created a RAG learning tool and made it available on GitHub, enabling develop
How we built
Testimonials
Mario Mestrovic, CEO @ Pixion
Pixion
“This project played a crucial role in positioning Pixion as generative AI domain experts“
Team structure
Client team
Michael
Project stakeholder
Project stakeholder
The client stakeholders were working closely with the team at Pixion
Agency team
5 x Software Engineer
Production