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klotz: rag* + llm*

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1. The Challenges of Retrieving Relevant Context for RAG

   Case study on measuring context relevance in retrieval-augmented generation systems using Ragas, TruLens, and DeepEval. Develop practical strategies to evaluate the accuracy and relevance of generated context.

   2024-06-11 Tags: natural language processing, rag, machine learning, llm by klotz
2. Accidental prompt injection against RAG applications

   Simon Willison explains an accidental prompt injection attack on RAG applications, caused by concatenating user questions with documentation fragments in a Retrieval Augmented Generation (RAG) system.

   2024-06-06 Tags: llm, prompt injection, rag, simon willison by klotz
3. Make room for RAG: How Gen AI's balance of power is shifting

   The technology of retrieval-augmented generation, or RAG, could be pivotal in shaping the battle between large language models.

   2024-06-04 Tags: retrieval-augmented generation, large language models by klotz
4. Vespa and LLMs

   This article discusses the integration of Large Language Models (LLMs) into Vespa, a full-featured search engine and vector database. It explores the benefits of using LLMs for Retrieval-augmented Generation (RAG), demonstrating how Vespa can efficiently retrieve the most relevant data and enrich responses with up-to-date information.

   2024-06-03 Tags: vespa, search, information retrieval, llm, retrieval-augmented generation by klotz
5. GNN-RAG: A Novel AI Method for Combining Language Understanding Abilities of LLMs with the Reasoning Abilities of GNNs in a Retrieval-Augmented Generation (RAG) Style

   This article discusses GNN-RAG, a new AI method that combines the language understanding abilities of LLMs with the reasoning abilities of GNNs for Retrieval-Augmented Generation (RAG) style. This approach improves KGQA performance by utilizing GNNs for retrieval and RAG for reasoning.

   2024-06-03 Tags: gnn-rag, llm, graph neural networks, retrieval-augmented generation, knowledge graph by klotz
6. Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts

   An article discussing a paper that proposes a new framework, MetRag, for retrieval augmented generation. The framework is designed to improve the performance of large language models in knowledge-intensive tasks.

   2024-06-01 Tags: retrieval augmented generation, large language models, metrag, similarity, task adaptive summarizer by klotz
7. Retrieving and Filtering with Metadata

   In this tutorial, we will build a RAG system with a self-querying retriever in the LangChain framework. This will enable us to filter the retrieved movies using metadata, thus providing more meaningful movie recommendations.

   2024-05-28 Tags: recommender systems, llm, langchain, rag, pinecone, python by klotz
8. Combining the Best of Both Worlds: Retrieval-Augmented Generation for Knowledge-Intensive Natural Language Processing

   This article discusses Retrieval-Augmented Generation (RAG) models, a new approach that addresses the limitations of traditional models in knowledge-intensive Natural Language Processing (NLP) tasks. RAG models combine parametric memory from pre-trained seq2seq models with non-parametric memory from a dense vector index of Wikipedia, enabling dynamic knowledge access and integration.

   2024-05-28 Tags: retrieval-augmented generation, nlp, llm, parametric memory by klotz
9. Verba: A Retrieval-Augmented Generation (RAG) chatbot powered by Weaviate

   Verba is an open-source application designed to offer an end-to-end, streamlined, and user-friendly interface for Retrieval-Augmented Generation (RAG) out of the box. It supports various RAG techniques, data types, LLM providers, and offers Docker support and a fully-customizable frontend.

   2024-05-20 Tags: verba, retrieval-augmented generation, rag, weaviate, open-source, chatbot, python, llm, github by klotz
10. llm-chatbot-rag - A local LLM chatbot with RAG for PDF input files

    This is a local LLM chatbot project with RAG for processing PDF input files

    2024-05-17 Tags: llm, chatbot, rag, github, python by klotz

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