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Found 3 papers, 1 papers with code
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers
Retrieval-Augmented Generation (RAG) is a prevalent approach to infuse a private knowledge base of documents with Large Language Models (LLM) to build Generative Q\&A (Question-Answering) systems.
Ranked #1 on
Zero-shot Text Search
on NQ
Dynamically Tie the Right Offer to the Right Customer in Telecommunications Industry
The outcomes of customer segmentation of this study could be more meaningful and relevant for marketers.
Automated Metadata Harmonization Using Entity Resolution & Contextual Embedding
ML Data Curation process typically consist of heterogeneous & federated source systems with varied schema structures; requiring curation process to standardize metadata from different schemas to an inter-operable schema.
