Tags: rag* + llm* + search*

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  1. This article discusses the importance of determining user query intent to enhance search results. It covers how to identify search and answer intents, implement intent detection using language models, and adjust retrieval strategies accordingly.
    2024-10-13 Tags: , , , by klotz
  2. This page provides documentation for the rerank API, including endpoints, request parameters, and response formats.
    2024-09-28 Tags: , , , , , , , , by klotz
  3. A post discussing new techniques developed for parsing and searching PDFs, focusing on turning them into a hierarchical structure for RAG search. The approach involves dynamically generating chunks for searches, sending headers and sub-headers to the Language Model along with relevant chunks.
    2024-06-27 Tags: , , , , , by klotz
  4. 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.
  5. 2023-12-13 Tags: , , , , , by klotz
  6. 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
  7. 2023-10-07 Tags: , , , by klotz

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