RAG stands for Retrieval-Augmented Generation. It combines retrieval (e.g. semantic search over documents) with LLM generation so answers are grounded in your data.

WeKnora FAQ – Frequently Asked Questions

Q: Is WeKnora free to use?

Yes. WeKnora is open source under the MIT License for commercial and non-commercial use.

General

What is WeKnora?

WeKnora is an open-source framework for document understanding, semantic retrieval, and context-aware Q&A. It uses the RAG (Retrieval-Augmented Generation) paradigm: documents are parsed, chunked, and indexed for vector search; when users ask questions, relevant chunks are retrieved and an LLM generates answers from that context.

Is WeKnora free to use?

Yes. WeKnora is open source under the MIT License. You can use it for commercial and non-commercial projects without licensing fees.

What is RAG?

RAG stands for Retrieval-Augmented Generation. It combines a retrieval step (e.g. semantic search over your documents) with an LLM generation step, so answers are grounded in your data and stay up to date. Read more: What is RAG?

Installation & Setup

How do I install WeKnora?

Clone the repository, then use the provided scripts to start services (e.g. ./scripts/start_all.sh). You need Docker for the default setup. See the Getting Started guide for step-by-step instructions.

What are the system requirements?

You need Docker, 4GB+ RAM, and sufficient disk space for documents and vector indexes. For production, refer to the documentation for scaling and resource guidance.

Documents & Knowledge Bases

What document formats does WeKnora support?

WeKnora supports PDF, Word (.docx), Markdown, plain text, HTML, and URLs. The document understanding engine parses layout and structure for better chunking and retrieval.

How do I add documents to a knowledge base?

You can upload files via the Web UI (drag-and-drop or folder import) or use the API to upload documents to a knowledge base. See examples for code samples.

API & Integration

Does WeKnora have an API?

Yes. WeKnora exposes a RESTful API for knowledge bases, documents, search, and conversations. There is also an official Go client. Full details are in the API Reference.

Can I use WeKnora with my own LLM?

WeKnora is designed to work with multiple LLM providers (e.g. OpenAI-compatible APIs, Ollama). Configuration is described in the documentation.

More Help

For troubleshooting, contribution guidelines, and community support, see Documentation, Community, and Contact.

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