DocAsker – Use LLMs to ask documentation questions
We've built this over the last few weeks to leverage vector search and LLMs (this is backed by GPT-3.5, though we're also testing Flan-T5) to answer question over large sets of documents with references. Currently, we've ingested the documentation for React and some key adjacent libraries (Redux, React-Redux, React-Router, MUI). This allows you to ask various natural language questions and the output is hopefully a relevant answer with code examples if applicable, while sourcing the original docs whenever possible. We're working on adding up more documentations and have more "general"…
DocAsker – Use LLMs to ask documentation questions launched on January 31, 2023 with 97 votes, #466 of 3,901 launches that month and more than 90% of that year's launches.
In plain words
DocAsker uses vector search and large language models to answer questions about software documentation through natural language queries. It currently indexes React and related libraries including Redux, React-Redux, React-Router, and MUI, returning answers with code examples and links to original documentation sources. The tool is built on GPT-3.5 with alternative models being tested, and the creators are expanding coverage to additional libraries and custom documentation sets.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
We've built this over the last few weeks to leverage vector search and LLMs (this is backed by GPT-3.5, though we're also testing Flan-T5) to answer question over large sets of documents with references. Currently, we've ingested the documentation for React and some key adjacent libraries (Redux, React-Redux…
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