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Showing 1 to 6 of 6 for “"Vector database"”.

  1. An end-to-end benchmarking framework for retrieval-augmented generation systems

    … in navigating the complex trade-offs between vector database configurations, retrieval strategies, and generative model parameters. This thesis presents a RAG-based AI system benchmarking framework (RASB) for characterizing the system performance of RAG pipelines. To enable a holistic …

    uiuc Repository record for An end-to-end benchmarking framework for retrieval-augmented generation systems (opens in a new tab)

  2. Demystifying CXL type-2 devices—with composable CXL-SSDS as a case study

    … by 2.3–6.2× over OS-managed SSD swap on a vector-database workload.

    uiuc Repository record for Demystifying CXL type-2 devices—with composable CXL-SSDS as a case study (opens in a new tab)

  3. A Large Language Model and Retrieval-Augmented Generation System to Assist with Undergraduate Academic Advising

    … a manageable context window size. Two main databases are used, with a 4096 dimension Qdrant vector database used for retrieval and a PostgreSQL database used for memory. In addition, within the RAG pipeline, we have incorporated metadata filtering with the student’s catalog year, major, and …

    chapman Repository record for A Large Language Model and Retrieval-Augmented Generation System to Assist with Undergraduate Academic Advising (opens in a new tab)

  4. Clinical Question-Answering over Distributed EHR Data

    … a dataset on clinical trends over the MIMIC-IV database for the evaluation of QA systems on EHR data. FedRAG is implemented in Python as a federation of Flask servers using LangChain, the Qdrant vector database for retrieval, and GPT-3.5 Turbo for generation. We present a case study of three …

    mit Repository record for Clinical Question-Answering over Distributed EHR Data (opens in a new tab)

  5. Understanding Indexing Efficiency for Approximate Nearest Neighbor Search in High-dimensional Vector Databases

    … images, videos, documents) into high-dimension vectors, which in turn forms Vector Databases as the data engines of various applications. As a result, queries on vector databases have become the cornerstone for many important online services, including search, eCommerce, and recommendation …

    mit Repository record for Understanding Indexing Efficiency for Approximate Nearest Neighbor Search in High-dimensional Vector Databases (opens in a new tab)

  6. Evaluating the Effect of Domain-Specific Large Language Models on Question and Response

    <p>Large Language Models have emerged to great fanfare in the Information Technology market. Business and Information Technology leaders are currently exploring ways to apply these models to assist their organizations in executing business processes and generating innovation. Software vendors, …

    denver Repository record for Evaluating the Effect of Domain-Specific Large Language Models on Question and Response (opens in a new tab)