Enhancing RAG Pipelines with Metadata Enrichment Techniques

Discover the untapped potential of metadata in transforming your Retrieval-Augmented Generation (RAG) pipeline in my latest tutorial. Join me as I explore the crucial role of metadata in enriching knowledge bases and enhancing accuracy in data processing.

In this video, I delve into an effective orchestration strategy using Hugging Face's open-source models. I address the common pitfalls of handling unstructured data and dispel the myth that simple plug-and-play methods are sufficient for complex document management.

This method combines similarity search with the strategic use of pre-processed keywords stored as document metadata, ensuring a more refined and accurate retrieval process.

Whether it's a single document or a vast vector database, this tutorial provides essential insights and techniques to elevate your RAG pipeline.

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GitHub Repo: github.com/AIAnytime/Metadata-Enrichment-using-Key…
KeyBERT Here: github.com/MaartenGr/KeyBERT
Embeddings Model: huggingface.co/intfloat/multilingual-e5-base

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