salilkadam/agentic-multimodal-rag

This project is a personal experiment or reference implementation that combines several modern RAG patterns: knowledge graphs (specifically leveraging Zep's Graphiti library), multimodal input, and agentic reasoning. With only 2 stars and 1 fork after nearly a year, it lacks any market traction or community momentum. From a competitive standpoint, it offers no proprietary moat; the core value is derived from the underlying libraries it integrates (like Graphiti). Frontier labs are rapidly internalizing these capabilities—GPT-4o and Gemini 1.5 Pro are already capable of native multimodal processing and long-context retrieval that often bypasses the need for complex external KG-RAG setups for many use cases. Larger frameworks like LangChain and LlamaIndex have more robust, well-supported implementations of these exact patterns, making this specific repository highly likely to remain a static proof-of-concept rather than a defensible product.