semantic-search 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.

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.

Hister is a self-hosted search engine that indexes the full content of the web pages you visit and the files you keep. It solves the problem of losing useful information by creating a private, searchable memory of your digital content, putting you back in control of your data. It's for privacy-conscious individuals, researchers, and anyone who wants to reliably find information they've previously encountered without relying on external services.

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

Semantica is an open-source, graph-native infrastructure that provides AI systems with structured context, causal reasoning, and full decision provenance. It solves critical production AI failures like data silos and black-box decisions by making AI explainable, traceable, and accountable by design. It's built for developers and enterprises using AI agents, LangGraph, CrewAI, LlamaIndex, and other frameworks who need trust and auditability in production.

This is a beginner-friendly course designed to demystify Generative AI and provide practical building skills. It solves the problem of overwhelming complexity by breaking down AI concepts into 21 digestible lessons. It's for developers, students, and anyone new to AI who wants to move from theory to application and start creating their own AI-powered projects.