There are many use-cases for AI across the Software Development Life Cycle (SDLC), such as in area’s of automated testing, code generation, and deployment.
Retrieval Augmented Generation (RAG) AI enables a; “bring your own” data AI that can answer questions on information that may be proprietary, or needs to be specific for the use-case. With the goal to enable increased quality of service and output.
Notable in the RAG AI field is LangChain with their extensive tool-set including LangFlow. This tool-set enables quick prototyping of chat bots using a diagram like UI.
