Showing 3 open source projects for "search engine code"

View related business solutions
  • Gemini 3 and 200+ AI Models on One Platform Icon
    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

    Build generative AI apps with Vertex AI. Switch between models without switching platforms.
    Start Free
  • Try Google Cloud Risk-Free With $300 in Credit Icon
    Try Google Cloud Risk-Free With $300 in Credit

    No hidden charges. No surprise bills. Cancel anytime.

    Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
    Start Free
  • 1
    AMPdoc

    AMPdoc

    Apache, MySQL, PHP package for library, archive, museum automation

    AMPdoc mblazquez edition is a portable package with Apache, MySQL, PHP, and Perl which includes a selection of documentary software applications for libraries, archives, museums, publishers, conferences and documentation centers. AMPdoc mblazquez edition enables to perform workflow management duties, publication of contents, web positioning, among others. Usually, difficulty in installing and configuring of necessary applications has limited the access to technologies to information...
    Downloads: 3 This Week
    Last Update:
    See Project
  • 2
    A system to perform analysis of large documents for the purpose of cataloging similar documents. Similarity is based upon contextual analysis of these documents done by identifying common words and proper nouns.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Centre d'informations (CI)

    Centre d'informations (CI)

    Not a search engine but navigation routes within a research domain.

    The Centre d'Informations (CI) aim is to articulate and display whatever type of knowledge available on a given field (see screenshots examples for various fields). The software is built as a network of information articulated using concepts (figure). The website should not be understood as a conventional search engine but as different ways to navigate within this knowledge (information and concept) network. Each information is thoroughly formalized; the aim is not exhaustivity or information amount but rather information quality so as to ensure the best possible articulation within the existing network (quality of the network) and ensure the subject diversity so as to cover the field with robustness.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB