The SolrAI proposal aims to create a Drupal module that enables users to have a more intuitive and interactive experience when searching for and accessing website content by leveraging the latest OpenAI model, GPT-4, and the Apache Solr index. The project consists of nine development phases, covering prototype development, user interface design, access control, and release as a contrib module to the Drupal community. The SolrAI module is set to significantly enhance the user experience on Drupal-based websites, foster innovation within the community, and bring Drupal to the forefront of AI-enabled conversational content engagement.
Note: This proposal was submitted, and NOT funded. So, we went ahead and developed it on our own. It took a year. But, good thing we made that decision. Our list of projects continues to grow as the SolrAI module has proven to be a much more viable and efficient, not to mention affordable, alternative to OpenAI GPTs and Assistant API when it comes to implementing Semantic (or AI-powered) search mechanisms in large text datasets.
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The SolrAI proposal focuses on developing a Drupal module that enables users to have a more intuitive and interactive experience when searching for and accessing website content. The SolrAI module leverages the capabilities of the latest OpenAI model, GPT-4, and uses the Apache Solr index for efficient content indexing and retrieval.
The proposal outlines a nine-phase development plan that includes ingestion and query prototype development, user interface design, access control code development, and release as a contrib module to the Drupal community. The project aims to address the pain points of the current keyword-centric search paradigm and provide a scalable, flexible query system for larger sites and enterprises that allows both legacy and semantic search patterns.
The module will offer advanced features, such as a query user interface, CRUD code for synchronization, configuration UI for managing content datasets, and an access control system to manage user access permissions. Upon completion, the SolrAI Drupal module is expected to deliver a comprehensive solution that includes the module, documentation, and user guides, successfully enhancing user engagement and providing a revolutionary way to interact with website content.
The proposal seeks $18,000 (USD) in funding to support the development, testing, and release of the SolrAI module. This funding will cover costs associated with development, testing, documentation, release, and project management. The successful integration of this module will significantly enhance the user experience on Drupal-based websites and contribute to the Drupal community by fostering innovation and expanding the platform's capabilities in the era of AI and large language models. The SolrAI project presents an exciting opportunity to transform search and content interaction in the Drupal ecosystem.
Here is a list of in-progress and completed AI projects which are powered by the SolrAI Module.
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