RagLeap DocsRagLeap Core is the open-source, self-hosted AI Employee system. These docs show how to install it on your own machine or server with Docker, configure it and use it. They follow GitHub releases; this copy is built from v0.7.5.
Looking for the Python libraries (ragleap-rag, ragleap-graph and the rest)? They are documented at packages.ragleap.com.
What RagLeap Core is
RagLeap Core is a document-grounded chat engine. Upload your documents, ask questions, get cited answers — self-hosted, on your own infrastructure, with your own API key.
WhatsApp, Telegram, and Discord bots are included in this repo too — single-tenant, .env-configured channel adapters that answer from the same document knowledge base.
RagLeap Core is right for you if
- ✅ You want a self-hosted RAG chatbot with full control over your data
- ✅ You want to understand exactly how document retrieval and citation works, not use a black box
- ✅ You're comfortable running your own server and your own AI provider key
- ✅ You want to contribute to or extend an open document-QA engine
- ✅ You'd rather see the code than trust a vendor's word on data privacy
What RagLeap Core is not
| It's not... | It is... |
|---|---|
| A hosted product | Self-hosted software you run yourself |
| Multi-tenant, with persistent cross-session memory | Single-tenant — one bot, one document set, per deployment |
| A no-code SaaS dashboard | A codebase you deploy and configure |