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klotz: summarization* + rag*

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1. Leveraging Smaller LLMs for Enhanced Retrieval-Augmented Generation (RAG)

   The article explores how smaller language models like the Meta 1 Billion model can be used for efficient summarization and indexing of large documents, improving the performance and scalability of Retrieval-Augmented Generation (RAG) systems.

   2024-10-19 Tags: llm, rag, summarization, lancedb, small models by klotz
2. A Visual Exploration of Semantic Text Chunking

   The article explains semantic text chunking, a technique for automatically grouping similar pieces of text to be used in pre-processing stages for Retrieval Augmented Generation (RAG) or similar applications. It uses visualizations to understand the chunking process and explores extensions involving clustering and LLM-powered labeling.

   2024-09-21 Tags: text, chunking, nlp, rag, dimensionality reduction, hierarchical clustering, umap, summarization, llm by klotz
3. Building RAG-Based Chatbots Using Streamlit + Langchain

   2023-11-07 Tags: rag, llm, streamlit, langchain, document, search, summarization, q and a by klotz

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