Document (#44368)

Author
Ghali, M.-K.
Farrag, A.
Won, D.
Jin, Y.
Title
Enhancing knowledge retrieval with in-context learning and semantic search through Generative AI
Source
https://arxiv.org/abs/2406.09621 [DOI: 10.48550/arXiv.2406.09621]
Year
2024
Abstract
Retrieving and extracting knowledge from extensive research documents and large databases presents significant challenges for researchers, students, and professionals in today's information-rich era. Existing retrieval systems, which rely on general-purpose Large Language Models (LLMs), often fail to provide accurate responses to domain-specific inquiries. Additionally, the high cost of pretraining or fine-tuning LLMs for specific domains limits their widespread adoption. To address these limitations, we propose a novel methodology that combines the generative capabilities of LLMs with the fast and accurate retrieval capabilities of vector databases. This advanced retrieval system can efficiently handle both tabular and non-tabular data, understand natural language user queries, and retrieve relevant information without fine-tuning. The developed model, Generative Text Retrieval (GTR), is adaptable to both unstructured and structured data with minor refinement. GTR was evaluated on both manually annotated and public datasets, achieving over 90% accuracy and delivering truthful outputs in 87% of cases. Our model achieved state-of-the-art performance with a Rouge-L F1 score of 0.98 on the MSMARCO dataset. The refined model, Generative Tabular Text Retrieval (GTR-T), demonstrated its efficiency in large database querying, achieving an Execution Accuracy (EX) of 0.82 and an Exact-Set-Match (EM) accuracy of 0.60 on the Spider dataset, using an open-source LLM. These efforts leverage Generative AI and In-Context Learning to enhance human-text interaction and make advanced AI capabilities more accessible. By integrating robust retrieval systems with powerful LLMs, our approach aims to democratize access to sophisticated AI tools, improving the efficiency, accuracy, and scalability of AI-driven information retrieval and database querying.
Content
Vgl.: https://www.researchgate.net/publication/381471078_Enhancing_Knowledge_Retrieval_with_In-Context_Learning_and_Semantic_Search_through_Generative_AI.
Theme
Retrievalalgorithmen
Computerlinguistik

Similar documents (content)

  1. Mens, G. Le; Kovács; B.; Hannan, M.T.; Pros, G.: Uncovering the semantics of concepts using GPT-4 (2023) 0.28 
    0.28479978 = sum of:
  0.28479978 = product of:
    0.7911105 = sum of:
      0.017427634 = weight(abstract_txt:learning in 2305) [ClassicSimilarity], result of:
        0.017427634 = score(doc=2305,freq=1.0), product of:
          0.06720205 = queryWeight, product of:
            1.0743474 = boost
            4.7420692 = idf(docFreq=1052, maxDocs=44421)
            0.013190761 = queryNorm
          0.2593319 = fieldWeight in 2305, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            4.7420692 = idf(docFreq=1052, maxDocs=44421)
            0.0546875 = fieldNorm(doc=2305)
      0.021902852 = weight(abstract_txt:model in 2305) [ClassicSimilarity], result of:
        0.021902852 = score(doc=2305,freq=2.0), product of:
          0.071106784 = queryWeight, product of:
            1.3534887 = boost
            3.9827821 = idf(docFreq=2249, maxDocs=44421)
            0.013190761 = queryNorm
          0.3080276 = fieldWeight in 2305, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.9827821 = idf(docFreq=2249, maxDocs=44421)
            0.0546875 = fieldNorm(doc=2305)
      0.036169257 = weight(abstract_txt:text in 2305) [ClassicSimilarity], result of:
        0.036169257 = score(doc=2305,freq=5.0), product of:
          0.0731965 = queryWeight, product of:
            1.3732331 = boost
            4.040882 = idf(docFreq=2122, maxDocs=44421)
            0.013190761 = queryNorm
          0.49413916 = fieldWeight in 2305, product of:
            2.236068 = tf(freq=5.0), with freq of:
              5.0 = termFreq=5.0
            4.040882 = idf(docFreq=2122, maxDocs=44421)
            0.0546875 = fieldNorm(doc=2305)
      0.014209095 = weight(abstract_txt:with in 2305) [ClassicSimilarity], result of:
        0.014209095 = score(doc=2305,freq=5.0), product of:
          0.046550512 = queryWeight, product of:
            1.4137926 = boost
            2.4961398 = idf(docFreq=9949, maxDocs=44421)
            0.013190761 = queryNorm
          0.30524036 = fieldWeight in 2305, product of:
            2.236068 = tf(freq=5.0), with freq of:
              5.0 = termFreq=5.0
            2.4961398 = idf(docFreq=9949, maxDocs=44421)
            0.0546875 = fieldNorm(doc=2305)
      0.037224192 = weight(abstract_txt:large in 2305) [ClassicSimilarity], result of:
        0.037224192 = score(doc=2305,freq=3.0), product of:
          0.08846342 = queryWeight, product of:
            1.5096663 = boost
            4.4423513 = idf(docFreq=1420, maxDocs=44421)
            0.013190761 = queryNorm
          0.4207863 = fieldWeight in 2305, product of:
            1.7320508 = tf(freq=3.0), with freq of:
              3.0 = termFreq=3.0
            4.4423513 = idf(docFreq=1420, maxDocs=44421)
            0.0546875 = fieldNorm(doc=2305)
      0.068616465 = weight(abstract_txt:dataset in 2305) [ClassicSimilarity], result of:
        0.068616465 = score(doc=2305,freq=2.0), product of:
          0.1329941 = queryWeight, product of:
            1.5113661 = boost
            6.6710296 = idf(docFreq=152, maxDocs=44421)
            0.013190761 = queryNorm
          0.51593614 = fieldWeight in 2305, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            6.6710296 = idf(docFreq=152, maxDocs=44421)
            0.0546875 = fieldNorm(doc=2305)
      0.060212478 = weight(abstract_txt:fine in 2305) [ClassicSimilarity], result of:
        0.060212478 = score(doc=2305,freq=1.0), product of:
          0.15358466 = queryWeight, product of:
            1.6241547 = boost
            7.168868 = idf(docFreq=92, maxDocs=44421)
            0.013190761 = queryNorm
          0.39204746 = fieldWeight in 2305, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            7.168868 = idf(docFreq=92, maxDocs=44421)
            0.0546875 = fieldNorm(doc=2305)
      0.113985404 = weight(abstract_txt:tuning in 2305) [ClassicSimilarity], result of:
        0.113985404 = score(doc=2305,freq=1.0), product of:
          0.23502985 = queryWeight, product of:
            2.0091622 = boost
            8.868255 = idf(docFreq=16, maxDocs=44421)
            0.013190761 = queryNorm
          0.48498267 = fieldWeight in 2305, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            8.868255 = idf(docFreq=16, maxDocs=44421)
            0.0546875 = fieldNorm(doc=2305)
      0.42136315 = weight(abstract_txt:llms in 2305) [ClassicSimilarity], result of:
        0.42136315 = score(doc=2305,freq=3.0), product of:
          0.49086732 = queryWeight, product of:
            4.1062984 = boost
            9.06241 = idf(docFreq=13, maxDocs=44421)
            0.013190761 = queryNorm
          0.85840535 = fieldWeight in 2305, product of:
            1.7320508 = tf(freq=3.0), with freq of:
              3.0 = termFreq=3.0
            9.06241 = idf(docFreq=13, maxDocs=44421)
            0.0546875 = fieldNorm(doc=2305)
    0.36 = coord(9/25)
  2. Hou, Y.; Pascale, A.; Carnerero-Cano, J.; Sattigeri, P.; Tchrakian, T.; Marinescu, R.; Daly, E.; Padhi, I.: WikiContradict : a benchmark for evaluating LLMs on real-world knowledge conflicts from Wikipedia (2024) 0.26 
    0.25536835 = sum of:
  0.25536835 = product of:
    0.7980261 = sum of:
      0.013515845 = weight(abstract_txt:both in 2368) [ClassicSimilarity], result of:
        0.013515845 = score(doc=2368,freq=1.0), product of:
          0.06493558 = queryWeight, product of:
            1.2934227 = boost
            3.8060317 = idf(docFreq=2684, maxDocs=44421)
            0.013190761 = queryNorm
          0.20814236 = fieldWeight in 2368, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            3.8060317 = idf(docFreq=2684, maxDocs=44421)
            0.0546875 = fieldNorm(doc=2368)
      0.021902852 = weight(abstract_txt:model in 2368) [ClassicSimilarity], result of:
        0.021902852 = score(doc=2368,freq=2.0), product of:
          0.071106784 = queryWeight, product of:
            1.3534887 = boost
            3.9827821 = idf(docFreq=2249, maxDocs=44421)
            0.013190761 = queryNorm
          0.3080276 = fieldWeight in 2368, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.9827821 = idf(docFreq=2249, maxDocs=44421)
            0.0546875 = fieldNorm(doc=2368)
      0.012709002 = weight(abstract_txt:with in 2368) [ClassicSimilarity], result of:
        0.012709002 = score(doc=2368,freq=4.0), product of:
          0.046550512 = queryWeight, product of:
            1.4137926 = boost
            2.4961398 = idf(docFreq=9949, maxDocs=44421)
            0.013190761 = queryNorm
          0.2730153 = fieldWeight in 2368, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            2.4961398 = idf(docFreq=9949, maxDocs=44421)
            0.0546875 = fieldNorm(doc=2368)
      0.021491399 = weight(abstract_txt:large in 2368) [ClassicSimilarity], result of:
        0.021491399 = score(doc=2368,freq=1.0), product of:
          0.08846342 = queryWeight, product of:
            1.5096663 = boost
            4.4423513 = idf(docFreq=1420, maxDocs=44421)
            0.013190761 = queryNorm
          0.24294108 = fieldWeight in 2368, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            4.4423513 = idf(docFreq=1420, maxDocs=44421)
            0.0546875 = fieldNorm(doc=2368)
      0.048519164 = weight(abstract_txt:dataset in 2368) [ClassicSimilarity], result of:
        0.048519164 = score(doc=2368,freq=1.0), product of:
          0.1329941 = queryWeight, product of:
            1.5113661 = boost
            6.6710296 = idf(docFreq=152, maxDocs=44421)
            0.013190761 = queryNorm
          0.36482194 = fieldWeight in 2368, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            6.6710296 = idf(docFreq=152, maxDocs=44421)
            0.0546875 = fieldNorm(doc=2368)
      0.056522697 = weight(abstract_txt:achieving in 2368) [ClassicSimilarity], result of:
        0.056522697 = score(doc=2368,freq=1.0), product of:
          0.1472444 = queryWeight, product of:
            1.5902773 = boost
            7.019336 = idf(docFreq=107, maxDocs=44421)
            0.013190761 = queryNorm
          0.38386995 = fieldWeight in 2368, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            7.019336 = idf(docFreq=107, maxDocs=44421)
            0.0546875 = fieldNorm(doc=2368)
      0.027467646 = weight(abstract_txt:retrieval in 2368) [ClassicSimilarity], result of:
        0.027467646 = score(doc=2368,freq=1.0), product of:
          0.14447448 = queryWeight, product of:
            3.1504967 = boost
            3.4765 = idf(docFreq=3732, maxDocs=44421)
            0.013190761 = queryNorm
          0.1901211 = fieldWeight in 2368, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            3.4765 = idf(docFreq=3732, maxDocs=44421)
            0.0546875 = fieldNorm(doc=2368)
      0.5958975 = weight(abstract_txt:llms in 2368) [ClassicSimilarity], result of:
        0.5958975 = score(doc=2368,freq=6.0), product of:
          0.49086732 = queryWeight, product of:
            4.1062984 = boost
            9.06241 = idf(docFreq=13, maxDocs=44421)
            0.013190761 = queryNorm
          1.2139685 = fieldWeight in 2368, product of:
            2.4494898 = tf(freq=6.0), with freq of:
              6.0 = termFreq=6.0
            9.06241 = idf(docFreq=13, maxDocs=44421)
            0.0546875 = fieldNorm(doc=2368)
    0.32 = coord(8/25)
  3. Gao, T.; Yen, H.; Yu, J.; Chen, D.: Enabling large language models to generate text with citations (2023) 0.22 
    0.21994491 = sum of:
  0.21994491 = product of:
    0.7855175 = sum of:
      0.017700177 = weight(abstract_txt:model in 2295) [ClassicSimilarity], result of:
        0.017700177 = score(doc=2295,freq=1.0), product of:
          0.071106784 = queryWeight, product of:
            1.3534887 = boost
            3.9827821 = idf(docFreq=2249, maxDocs=44421)
            0.013190761 = queryNorm
          0.24892388 = fieldWeight in 2295, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            3.9827821 = idf(docFreq=2249, maxDocs=44421)
            0.0625 = fieldNorm(doc=2295)
      0.018486151 = weight(abstract_txt:text in 2295) [ClassicSimilarity], result of:
        0.018486151 = score(doc=2295,freq=1.0), product of:
          0.0731965 = queryWeight, product of:
            1.3732331 = boost
            4.040882 = idf(docFreq=2122, maxDocs=44421)
            0.013190761 = queryNorm
          0.25255513 = fieldWeight in 2295, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            4.040882 = idf(docFreq=2122, maxDocs=44421)
            0.0625 = fieldNorm(doc=2295)
      0.016238967 = weight(abstract_txt:with in 2295) [ClassicSimilarity], result of:
        0.016238967 = score(doc=2295,freq=5.0), product of:
          0.046550512 = queryWeight, product of:
            1.4137926 = boost
            2.4961398 = idf(docFreq=9949, maxDocs=44421)
            0.013190761 = queryNorm
          0.34884614 = fieldWeight in 2295, product of:
            2.236068 = tf(freq=5.0), with freq of:
              5.0 = termFreq=5.0
            2.4961398 = idf(docFreq=9949, maxDocs=44421)
            0.0625 = fieldNorm(doc=2295)
      0.024561599 = weight(abstract_txt:large in 2295) [ClassicSimilarity], result of:
        0.024561599 = score(doc=2295,freq=1.0), product of:
          0.08846342 = queryWeight, product of:
            1.5096663 = boost
            4.4423513 = idf(docFreq=1420, maxDocs=44421)
            0.013190761 = queryNorm
          0.27764696 = fieldWeight in 2295, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            4.4423513 = idf(docFreq=1420, maxDocs=44421)
            0.0625 = fieldNorm(doc=2295)
      0.055450473 = weight(abstract_txt:dataset in 2295) [ClassicSimilarity], result of:
        0.055450473 = score(doc=2295,freq=1.0), product of:
          0.1329941 = queryWeight, product of:
            1.5113661 = boost
            6.6710296 = idf(docFreq=152, maxDocs=44421)
            0.013190761 = queryNorm
          0.41693935 = fieldWeight in 2295, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            6.6710296 = idf(docFreq=152, maxDocs=44421)
            0.0625 = fieldNorm(doc=2295)
      0.031391595 = weight(abstract_txt:retrieval in 2295) [ClassicSimilarity], result of:
        0.031391595 = score(doc=2295,freq=1.0), product of:
          0.14447448 = queryWeight, product of:
            3.1504967 = boost
            3.4765 = idf(docFreq=3732, maxDocs=44421)
            0.013190761 = queryNorm
          0.21728125 = fieldWeight in 2295, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            3.4765 = idf(docFreq=3732, maxDocs=44421)
            0.0625 = fieldNorm(doc=2295)
      0.62168854 = weight(abstract_txt:llms in 2295) [ClassicSimilarity], result of:
        0.62168854 = score(doc=2295,freq=5.0), product of:
          0.49086732 = queryWeight, product of:
            4.1062984 = boost
            9.06241 = idf(docFreq=13, maxDocs=44421)
            0.013190761 = queryNorm
          1.2665104 = fieldWeight in 2295, product of:
            2.236068 = tf(freq=5.0), with freq of:
              5.0 = termFreq=5.0
            9.06241 = idf(docFreq=13, maxDocs=44421)
            0.0625 = fieldNorm(doc=2295)
    0.28 = coord(7/25)
  4. Lund, B.D.: ¬A brief review of ChatGPT : its value and the underlying GPT technology (2023) 0.21 
    0.20664367 = sum of:
  0.20664367 = product of:
    0.7380131 = sum of:
      0.047071733 = weight(abstract_txt:advanced in 1874) [ClassicSimilarity], result of:
        0.047071733 = score(doc=1874,freq=1.0), product of:
          0.102753274 = queryWeight, product of:
            1.3284687 = boost
            5.863737 = idf(docFreq=342, maxDocs=44421)
            0.013190761 = queryNorm
          0.45810446 = fieldWeight in 1874, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            5.863737 = idf(docFreq=342, maxDocs=44421)
            0.078125 = fieldNorm(doc=1874)
      0.02212522 = weight(abstract_txt:model in 1874) [ClassicSimilarity], result of:
        0.02212522 = score(doc=1874,freq=1.0), product of:
          0.071106784 = queryWeight, product of:
            1.3534887 = boost
            3.9827821 = idf(docFreq=2249, maxDocs=44421)
            0.013190761 = queryNorm
          0.31115484 = fieldWeight in 1874, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            3.9827821 = idf(docFreq=2249, maxDocs=44421)
            0.078125 = fieldNorm(doc=1874)
      0.02310769 = weight(abstract_txt:text in 1874) [ClassicSimilarity], result of:
        0.02310769 = score(doc=1874,freq=1.0), product of:
          0.0731965 = queryWeight, product of:
            1.3732331 = boost
            4.040882 = idf(docFreq=2122, maxDocs=44421)
            0.013190761 = queryNorm
          0.3156939 = fieldWeight in 1874, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            4.040882 = idf(docFreq=2122, maxDocs=44421)
            0.078125 = fieldNorm(doc=1874)
      0.086017825 = weight(abstract_txt:fine in 1874) [ClassicSimilarity], result of:
        0.086017825 = score(doc=1874,freq=1.0), product of:
          0.15358466 = queryWeight, product of:
            1.6241547 = boost
            7.168868 = idf(docFreq=92, maxDocs=44421)
            0.013190761 = queryNorm
          0.56006783 = fieldWeight in 1874, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            7.168868 = idf(docFreq=92, maxDocs=44421)
            0.078125 = fieldNorm(doc=1874)
      0.1628363 = weight(abstract_txt:tuning in 1874) [ClassicSimilarity], result of:
        0.1628363 = score(doc=1874,freq=1.0), product of:
          0.23502985 = queryWeight, product of:
            2.0091622 = boost
            8.868255 = idf(docFreq=16, maxDocs=44421)
            0.013190761 = queryNorm
          0.6928324 = fieldWeight in 1874, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            8.868255 = idf(docFreq=16, maxDocs=44421)
            0.078125 = fieldNorm(doc=1874)
      0.074446104 = weight(abstract_txt:capabilities in 1874) [ClassicSimilarity], result of:
        0.074446104 = score(doc=1874,freq=1.0), product of:
          0.15966655 = queryWeight, product of:
            2.028178 = boost
            5.9681263 = idf(docFreq=308, maxDocs=44421)
            0.013190761 = queryNorm
          0.46625987 = fieldWeight in 1874, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            5.9681263 = idf(docFreq=308, maxDocs=44421)
            0.078125 = fieldNorm(doc=1874)
      0.32240823 = weight(abstract_txt:generative in 1874) [ClassicSimilarity], result of:
        0.32240823 = score(doc=1874,freq=1.0), product of:
          0.5029672 = queryWeight, product of:
            4.6472206 = boost
            8.20496 = idf(docFreq=32, maxDocs=44421)
            0.013190761 = queryNorm
          0.6410125 = fieldWeight in 1874, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            8.20496 = idf(docFreq=32, maxDocs=44421)
            0.078125 = fieldNorm(doc=1874)
    0.28 = coord(7/25)
  5. Radford, A.; Narasimhan, K.; Salimans, T.; Sutskever, I.: Improving language understanding by Generative Pre-Training 0.18 
    0.18225941 = sum of:
  0.18225941 = product of:
    0.6509265 = sum of:
      0.019917298 = weight(abstract_txt:learning in 1871) [ClassicSimilarity], result of:
        0.019917298 = score(doc=1871,freq=1.0), product of:
          0.06720205 = queryWeight, product of:
            1.0743474 = boost
            4.7420692 = idf(docFreq=1052, maxDocs=44421)
            0.013190761 = queryNorm
          0.29637933 = fieldWeight in 1871, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            4.7420692 = idf(docFreq=1052, maxDocs=44421)
            0.0625 = fieldNorm(doc=1871)
      0.030657604 = weight(abstract_txt:model in 1871) [ClassicSimilarity], result of:
        0.030657604 = score(doc=1871,freq=3.0), product of:
          0.071106784 = queryWeight, product of:
            1.3534887 = boost
            3.9827821 = idf(docFreq=2249, maxDocs=44421)
            0.013190761 = queryNorm
          0.4311488 = fieldWeight in 1871, product of:
            1.7320508 = tf(freq=3.0), with freq of:
              3.0 = termFreq=3.0
            3.9827821 = idf(docFreq=2249, maxDocs=44421)
            0.0625 = fieldNorm(doc=1871)
      0.026143366 = weight(abstract_txt:text in 1871) [ClassicSimilarity], result of:
        0.026143366 = score(doc=1871,freq=2.0), product of:
          0.0731965 = queryWeight, product of:
            1.3732331 = boost
            4.040882 = idf(docFreq=2122, maxDocs=44421)
            0.013190761 = queryNorm
          0.3571669 = fieldWeight in 1871, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            4.040882 = idf(docFreq=2122, maxDocs=44421)
            0.0625 = fieldNorm(doc=1871)
      0.034735348 = weight(abstract_txt:large in 1871) [ClassicSimilarity], result of:
        0.034735348 = score(doc=1871,freq=2.0), product of:
          0.08846342 = queryWeight, product of:
            1.5096663 = boost
            4.4423513 = idf(docFreq=1420, maxDocs=44421)
            0.013190761 = queryNorm
          0.3926521 = fieldWeight in 1871, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            4.4423513 = idf(docFreq=1420, maxDocs=44421)
            0.0625 = fieldNorm(doc=1871)
      0.09731806 = weight(abstract_txt:fine in 1871) [ClassicSimilarity], result of:
        0.09731806 = score(doc=1871,freq=2.0), product of:
          0.15358466 = queryWeight, product of:
            1.6241547 = boost
            7.168868 = idf(docFreq=92, maxDocs=44421)
            0.013190761 = queryNorm
          0.6336444 = fieldWeight in 1871, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            7.168868 = idf(docFreq=92, maxDocs=44421)
            0.0625 = fieldNorm(doc=1871)
      0.18422823 = weight(abstract_txt:tuning in 1871) [ClassicSimilarity], result of:
        0.18422823 = score(doc=1871,freq=2.0), product of:
          0.23502985 = queryWeight, product of:
            2.0091622 = boost
            8.868255 = idf(docFreq=16, maxDocs=44421)
            0.013190761 = queryNorm
          0.7838504 = fieldWeight in 1871, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            8.868255 = idf(docFreq=16, maxDocs=44421)
            0.0625 = fieldNorm(doc=1871)
      0.25792658 = weight(abstract_txt:generative in 1871) [ClassicSimilarity], result of:
        0.25792658 = score(doc=1871,freq=1.0), product of:
          0.5029672 = queryWeight, product of:
            4.6472206 = boost
            8.20496 = idf(docFreq=32, maxDocs=44421)
            0.013190761 = queryNorm
          0.51281 = fieldWeight in 1871, product of:
            1.0 = tf(freq=1.0), with freq of:
              1.0 = termFreq=1.0
            8.20496 = idf(docFreq=32, maxDocs=44421)
            0.0625 = fieldNorm(doc=1871)
    0.28 = coord(7/25)