adithya-s-k/VARAG

Supports multiple vision-based retrieval techniques—Simple RAG with OCR via Docling, Vision RAG using cross-modal embeddings (JinaCLIP), ColPali RAG with page-level VLM embeddings and late interaction matching, and Hybrid ColPali combining coarse image retrieval with fine-grained re-ranking. Each RAG method is abstracted as a pluggable class with consistent `index()` and `search()` APIs, using LanceDB as the vector store backend. Integrates with Vision-Language Models (PaliGemma, JinaCLIP), supports cloud deployment via Modal with GPU acceleration, and works with LLMs/VLMs of choice for generation.

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