retrieval Tools

PageIndex is an open-source document indexing system designed for vectorless, reasoning-based retrieval-augmented generation (RAG). It solves the problem of getting verifiable, context-rich answers from complex documents by using fast tree indexing instead of traditional vector search. It's built for developers and teams who need precision, traceability, and efficient context retrieval for their AI applications.

SIE is an open-source inference server and production cluster that allows developers to run all the models their AI agents need—from embeddings and rerankers to large language models—entirely within their own infrastructure. It solves the problem of vendor lock-in, data privacy concerns, and high costs associated with proprietary model APIs by providing a performant, self-hosted alternative. It's built for teams building production AI agents who require control, data sovereignty, and the ability to compose the best open models.