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.
