FourjsGenero/ex_ai_vector_rag

The 'ex_ai_vector_rag' project is a niche reference implementation created by Four Js for its Genero (4GL) development suite. Its primary purpose is to demonstrate how legacy-adjacent business applications can leverage modern SQL vector types for RAG. Defensibility is minimal (score 2) as it is essentially a boilerplate demo for an existing proprietary platform; it contains no novel algorithms or unique datasets. With 0 stars and 0 forks, it has no community momentum and serves strictly as technical documentation for Genero developers. Frontier labs (OpenAI, Google) are making this type of project obsolete by building native 'File Search' or 'Knowledge' tools directly into their APIs, which are easier to implement than manual SQL-based vector handling. The project is highly susceptible to displacement as RAG patterns standardize into high-level libraries or managed services.