Orama

An interactive visualization tool for large embeddings by Apple. Explore, cross-filter, and search embeddings and metadata to understand and debug embedding models, vector retrieval, and RAG system behavior.

All-in-one platform for search, recommendations, RAG, and analytics offered via API. Built in Rust with vector search, full-text search, and semantic reranking for enterprise-grade AI retrieval applications.

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

An AI-powered answering engine with multi-model integration, web search and local knowledge base, providing a Perplexity-like search experience.