Practical overview
When it fits
Use it when a team needs live, cross-application retrieval and cited answers while keeping source data in its existing systems.
Who it is for
- Organizations building enterprise search across existing business applications.
- Teams seeking a self-hosted RAG layer that queries live sources.
- Developers extending connectors, mixers or federated search workflows.
Documented uses
- Search across multiple connected applications from one interface.
- Retrieve live organizational information without creating a second source-data copy.
- Generate answers with clickable citations using a configured OpenAI key.
- Rank, mix and post-process federated results through the available processing architecture.
Requirements & limits
The repository documents self-hosting with Docker and identifies the project as open source under Apache 2.0. Real-time RAG uses the user's own OpenAI key.
- Source data is queried in place rather than moved into a required vector database or ETL copy.
- Community ranking uses cosine vector similarity with spaCy and NLTK, while the repository lists more advanced ranking capabilities under Enterprise.
- The Docker quick-start installation is non-persistent across shutdowns.
- The documented Community interface includes more than 100 connectors and Microsoft 365 OAuth2 integration.
- Results can be stored in SQLite or Postgres for post-processing and analytics.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Start SWIRL Community with Docker
Launch the local Galaxy interface and run a first search using the documented default sources.
Before you start
- Docker must be installed and running.
- An OpenAI API key is needed for real-time RAG with the user's own OpenAI account.
Steps
Download the Compose file from the SWIRL Community repository.
Optionally set MSAL_CB_PORT, MSAL_HOST and OPENAI_API_KEY for real-time RAG.
Run docker-compose pull && docker-compose up.
Open http://localhost:8000/galaxy, log in with the documented admin credentials and run a search.
Expected outcome
A local SWIRL Galaxy interface is available for searching Arxiv, European PMC and Google News; configured OpenAI access enables the documented real-time RAG option.
Guide limitations
- The Docker version does not retain data or configuration after shutdown.
- The guide documents the initial setup, not a persistent production deployment.
Compare options for Retrieval-augmented applications
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 |
|---|---|---|---|
| SWIRL Community | Search across multiple connected applications from one interface. | Linux, Self-hosted, Server | The repository documents self-hosting with Docker and identifies the project as open source under Apache 2.0. Real-time RAG uses the user's own OpenAI key. |
| Rag Powered AI Assistant Transforming Data Retrieval And Analysis Across The Web And Pdfs | Retrieve relevant passages from web and PDF content to answer a question. | Web | |
| LangChain in Supabase Edge Functions | Initialize and start a Supabase project locally. | Cloud, Server |
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 1 October 2026
- Original website title
- swirlai/swirl-search · Official homepage title · retained in its source language