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swirl-search

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

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Pythonretrieval-augmented-generationsearch-engineunified-searchdjangofederated-searchsearchai-searchbigquerylarge-language-modelsragrelevancymetasearchdockerfederated-querygptpython

swirl-search is a Python-based metasearch and RAG platform that queries sources across many apps without moving the underlying data. It is built on Django and ships with a devcontainer for local deployment.

You want federated search and AI answers over distributed company knowledge while leaving the data in place.

Use it to

  • Set up federated search across 100+ apps
  • Build RAG pipelines without migrating data
  • Query sources like BigQuery through a unified interface
  • Prototype AI search locally in the devcontainer

For Teams building enterprise AI search over distributed data

Role
rag
Language
Python
Licence
Apache-2.0
Forks
286
Last push
2026-09-05
Latest release
v1.0 · 2022-04-08
topicsragmetasearchfederated-searchai-searchpythondjango