Open-source federated search platform for privacy-preserving vector similarity search across distributed enterprise data sources without data migration or central storage, unlike centralized vector DBs like Pinecone that require uploading all data to a single service. Enables multi-node federation querying 100+ heterogeneous sources simultaneously, using LLM embeddings for re-ranking unified results while keeping data local for enhanced privacy and compliance. Ideal for federated learning scenarios and data-sovereign AI applications.
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Swirl is an open-source enterprise-grade AI-powered federated search platform that searches across 100+ enterprise platforms simultaneously without requiring data migration, indexing, or duplication.
Rather than gathering data into a central repository, Swirl leaves information in place and connects natively to sources wherever they reside:
Available on GitHub: https://github.com/swirlai/swirl-search
Free and open-source with community support and enterprise options available.