Practical overview
When it fits
Use Fyin when you want to run web research queries from a terminal and are prepared to configure search and model-provider settings.
Who it is for
- Developers who want a configurable, self-hosted command-line research assistant.
- Users who want to connect web search and scraped pages to an Ollama or OpenAI model workflow.
Documented uses
- Ask a question and retrieve an answer based on searched and scraped web pages.
- Choose a search provider and control how many results Fyin parses.
- Run the research workflow locally, either directly with Cargo or in Docker.
Requirements & limits
- Fyin is a CLI application, so its documented primary workflow requires command-line use.
- Search choices are Bing, SearXNG and DuckDuckGo; the README calls for an API key or endpoint as applicable.
- Model configuration can use Ollama or the OpenAI API; the README provides environment-variable examples for both.
- The project is licensed under AGPL-3.0.
- The README describes a website and hosted version as TODO items, so its documented workflow is self-run.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Set up and run a research query with Cargo
Configure a search source and model provider, then submit a question from the command line.
Before you start
- Rust and Cargo, implied by the documented
cargo runcommand. - A Bing API key or a SearXNG or DuckDuckGo endpoint.
- An OpenAI API key or an Ollama setup.
- Environment variables configured from
sample.env.
Steps
Clone the repository using the README’s installation command.
Choose a search engine and model provider, then fill the corresponding values in the environment file.
Run the command below.
cargo run --query "" -n
Expected outcome
Fyin searches and scrapes the configured number of results and produces an answer to the query.
Guide limitations
- The README does not specify a particular Rust version or provide troubleshooting guidance.
- Search and model access depend on the selected provider’s credentials or endpoint.
Run a query in Docker
Build the documented Docker image, configure its environment and invoke Fyin with a question.
Before you start
- Docker.
- A Bing API key or SearXNG or DuckDuckGo endpoint.
- An OpenAI API key or Ollama configuration, as applicable.
Steps
Build the image with the command below.
docker build -t fyin .Create the environment file with
cp sample.env .envand populate the values.Run the container with the command below.
docker run --rm --env-file .env fyin --query "" --search
Expected outcome
Fyin runs the specified research query inside a Docker container.
Guide limitations
- Provider configuration is still required in the environment file.
Compare options for Vector search
These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.
| Project | Documented purpose | Platform | Access and requirements |
|---|---|---|---|
| Fyin | Ask a question and retrieve an answer based on searched and scraped web pages. | CLI, Docker, Linux, Self-hosted | |
| arXiv Search API | Search for arXiv papers using natural-language queries and vector similarity. | Cloud, Server, Web | The README identifies a hosted demo at https://docsearch.redisvl.com and provides a local setup path. Local setup instructions request OpenAI and Cohere API keys. |
| Alisia | Ask questions in a chat interface and receive responses informed by web search. | Cloud, Self-hosted, Web |
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 15 October 2026
- Original website title
- shadowfax92/Fyin · Official homepage title · retained in its source language