swirlai/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. observed · 2026-08-28
Health v2 · maintenance only
92/100
- Activity 99
- Release rhythm 77
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 33.0
- age_days: 1609
- days_rel: 72
- days_push: 8
- n_releases_24m: 15
Adoption not part of the score
3043 stars · 286 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
SWIRL is an open-source federated AI search and RAG platform that queries enterprise apps and data sources live, re-ranks results with a hybrid keyword/embedding/cross-encoder pipeline, and returns LLM-generated answers with citations - without copying data into a vector database. It is self-hosted via Docker/Kubernetes, enforces source-level permissions, and offers an MCP server so AI agents can search through it.
Use cases
- search across all company apps without moving data
- get AI answers with citations from internal knowledge
- federated enterprise search with source permissions enforced
- add RAG to company data without building a vector database or ETL
- let AI agents search enterprise data via MCP
- self-hosted AI search over Microsoft 365, SharePoint, and cloud file stores
When to choose
- you need secure, permission-aware search across many SaaS and enterprise sources
- you want to avoid standing up and governing a vector database or ETL pipelines
- you need self-hosted or air-gapped deployment with your own LLM choice
- you want agents (via MCP) to query company knowledge safely
When to avoid
- you need to index and deeply analyze a static corpus offline rather than query live sources
- you want a lightweight embeddable search library rather than a deployable service
- you need features like the three-pass reranker, canonical answers, or the full 150+ connector library that are Enterprise-only
Facets
application · maturity active
search-engine rag llm-inference api-framework mcp self-hosted large-language-models erp developer-tools self-hosted python self-hosted cloud federated-search metasearch enterprise-search no-vector-db live-query permissions-aware django connectors ai-search rag-without-etl search retrieval-augmented-generation docker kubernetes web-server
7 sources
- readme: https://github.com/swirlai/swirl-search · fetched 2026-08-28 · 020507278486
- homepage: https://swirlaiconnect.com/ · fetched 2026-08-29 · e81648d8f811
- site_page: https://docs.swirlaiconnect.com/ · fetched 2026-08-29 · 69786fdd80f5
- site_page: https://docs.swirlaiconnect.com/claude-plugin · fetched 2026-08-29 · 9b5b96b9c4cb
- site_page: https://swirlaiconnect.com/releases · fetched 2026-08-29 · 3c7f78428f41
- site_page: https://swirlaiconnect.com/faq · fetched 2026-08-29 · 2edbcc969802
- site_page: https://swirlaiconnect.com/pricing · fetched 2026-08-29 · f998ddb3dd28
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| swirlai/swirl-search | main | 92 |
For agents
markdown · JSON · MCP: product_card(name="swirlai/swirl-search")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem