gauravj226/Retrieval-Augmented-Generation-RAG

This project is a classic 'wrapper' or 'orchestration template' that combines several popular open-source components (LangGraph for logic, Docling for PDF parsing, Ollama for local serving). While the feature set is comprehensive (hallucination grading, query rewriting, and agentic loops), it lacks a proprietary moat. With 0 stars and 0 forks, there is no community traction or data gravity. It essentially serves as a reference implementation of the 'Corrective RAG' (CRAG) and 'Self-RAG' patterns popularized by LangChain tutorials. Competitively, it is positioned against much more mature, well-funded, and widely adopted local RAG platforms like AnythingLLM, Danswer, and Verba (by Weaviate). Frontier labs like OpenAI (via the Assistants API) and infrastructure providers (via AWS Bedrock Knowledge Bases) are rapidly commoditizing the 'Self-Correcting RAG' loop, making the displacement horizon very short for a project without a unique dataset or specialized fine-tuned model.