Docxplorer API
Having quick and precise access to comprehensive documentation for the api is essential foraccelerating software development and ensuring top-notch code quality. However, traditional retrievalaugmented generation (rag) systems often struggle to deliver contextually accurate technical answers,especially when handling the combination of structured code and unstructured explanatory text. Toovercome these limitations, docxplorer api introduces an upgraded rag architecture that is specificallydesigned to enhance the retrieval of api documentation. Central to this innovation is a dual-vector databasethat independently stores and intelligently interlinks code snippets with explanatory content, allowing formore granular and relevant retrieval.Key innovations include a dual-vector database that separates andinterlinks code snippets and explanatory content, and a two-step query optimization process using largelanguage models (llms).
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-02
- DOI
- https://doi.org/10.5281/zenodo.15578047
- Primary Topic
- Advanced Database Systems and Queries
- Type
- article
- Field-Weighted Citation Impact
- 0.00