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Added a section outlining the task for the search system.
Added a section detailing the current situation with BioPortal as the ontology database, including its benefits and trade-offs.
Expanded the search design document with detailed requirements, proposed approach, implementation strategy, and design principles for the retrieval and reranking system.
Clarified search requirements and added references for models used in ranking and retrieval strategy.
Summary of ChangesHello @tekrajchhetri, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request introduces a foundational design document for a new search system tailored for StructSense and Dandi. The initiative aims to mitigate current dependencies on BioPortal by establishing an independent, high-performance search capability. The proposed architecture details a hybrid retrieval and reranking strategy, integrating advanced techniques like vector search and various encoder models, all encapsulated within a modular, API-first service designed for scalability and extensibility. Highlights
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Code Review
This pull request introduces a comprehensive design document for a new search system. The document is well-structured, outlining the motivation, requirements, and a solid two-stage (retrieval and re-ranking) architectural approach. My review includes a few suggestions to fix minor typos, an invalid tag in the Mermaid diagram, and placeholder content in the references to enhance the document's accuracy and clarity.
| C2 --> D | ||
| G -- <br> --> N3 | ||
| G --> H1 | ||
| G -- </br> --> H2 |
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Addressed: #76
This design document provides a high-level architectural overview and design considerations (algorithms + system implementation) for search for StructSense + Dandi.