Showing 121-127 of 127 projects
A powerful document AI question-answering tool that connects to your local Ollama models.
A medical Q&A system built with RAG and large language models, leveraging knowledge graphs and NLP to provide reliable medical advice.
A Python library that boosts cost efficiency, inference accuracy, and cross-domain adaptability for complex QA systems.
A blueprint for building production-ready RAG systems that minimize hallucination, with switchable pipelines.
RAGChecker is a fine-grained framework for diagnosing RAG (Retrieval-Augmented Generation) models.
An open-source framework and context engine for Retrieval Augmented Generation (RAG) powered by Pinecone vector database.
An open-source Python library that helps developers quickly build and deploy RAG-based LLM web apps.
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