embeddings Tools

WeKnora is an open-source platform that turns your raw documents and data into a powerful, queryable knowledge base. It solves the problem of scattered, static information by creating a dynamic system that can answer questions via RAG, reason autonomously, and maintain itself like a wiki. It's built for developers, teams, and organizations who need to unlock the value trapped in their documents and build intelligent knowledge applications.

Supabase is a development platform that provides a fully-managed, dedicated Postgres database as its core service. It solves the problem of backend complexity by bundling essential features like Authentication, APIs, Edge Functions, Realtime subscriptions, and Storage into one integrated platform. It's designed for developers and teams who want to build web, mobile, and AI applications quickly without managing infrastructure, offering an open-source alternative to services like Firebase.

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.

CMEM Cloud is a persistent memory layer for AI agents that captures, compresses, and recalls context across sessions. It solves the problem of agents forgetting past decisions and repeating work, by creating a shared, searchable memory for your entire team. It's for developers and teams using AI coding assistants like Claude Code, Cursor, and Copilot who want their agents to learn from history and collaborate seamlessly.

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