SemanticScuttle - klotz.me

klotz: rag* + machine learning*

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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. Overcoming the Limits of RAG with ColBERT

   ColBERT is a new way of scoring passage relevance using a BERT language model that substantially solves the problems with dense passage retrieval.

   2024-03-12 Tags: llm, rag, embedding, bert, colbert, cosine distance, concept expansion by klotz
3. From RAGs to Riches 10 Applications of vector search to deeply understand your data and models

   Image Similarity Search
   Reverse Image Search
   Object Similarity Search
   Robust OCR Document Search
   Semantic Search
   Cross-modal Retrieval
   Probing Perceptual Similarity
   Comparing Model Representations
   Concept Interpolation
   Concept Space Traversal
   Image Similarity Search

   2023-10-26 Tags: llm, rag, similarity, vision, document, search, machine learning by klotz

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