The Perfect RAG Use Case?
Legacy software is the backbone of many critical systems in large organisations, including banking and finance. Yet, it's also a major headache for IT teams. Outdated codebases, abandoned by their original developers, require constant updates to remain relevant. The question is, can AI provide a solution to this problem?
Recently, startups have emerged, offering bespoke models tailored to specific codebases. But what if there was a more efficient way to tackle this challenge?
Could RAG provide the way to help manage legacy software. By combining RAG with an open-source model trained on code, you can quickly and easily unlock the secrets of your legacy system.
Imagine having a single, searchable source of truth for your entire codebase, including JIRAs, documentation, commit comments, issues, and more. With a vector database, you can consolidate all relevant information into one place, making it easy to identify areas that need attention.
That's where bionicGPT comes in. Our no-code RAG pipeline allows you to create a single dataset, load it with multiple data sources, and access specialised models to test and refine your approach in just days. Could this get you to 80% at very little cost and risk
Don't let legacy software hold your business back. If you're struggling with outdated systems, get in touch to discover how our RAG approach can help you:
- Reduce maintenance costs and complexity
- Speed up updates and innovation
- Improve system reliability and performance
- Unlock new insights and opportunities from your existing codebase
Break free from the shackles of legacy software and take control of your systems. Contact us today to learn more about how RAG can transform your business.
