A Retrieval Augmented Generation (RAG)-based NLP query engine for DataFrames, designed for efficient querying of large datasets. It uses semantic embeddings and FAISS indexing to retrieve relevant data segments, enabling accurate natural language queries while overcoming language model input size limitations.
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A Retrieval Augmented Generation (RAG)-based NLP query engine for DataFrames, designed for efficient querying of large datasets. It uses semantic embeddings and FAISS indexing to retrieve relevant data segments, enabling accurate natural language queries while overcoming language model input size limitations.
harmeshgv/RAG-Enhanced-NLP-QueryEngine
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A Retrieval Augmented Generation (RAG)-based NLP query engine for DataFrames, designed for efficient querying of large datasets. It uses semantic embeddings and FAISS indexing to retrieve relevant data segments, enabling accurate natural language queries while overcoming language model input size limitations.
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