vector-search Tools

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.

TencentDB Agent Memory is a centralized memory system for AI agent teams. It solves the problem of fragmented, non-reusable knowledge by converting conversations, documents, and code into four governed, shareable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph). It's designed for teams building and scaling AI agents across different frameworks, enabling consistent knowledge sharing and improved agent capabilities.

A vector index built on TurboQuant, written in Rust with Python bindings