# Using Knowledge Base LangBot natively supports RAG (Retrieval-Augmented Generation), you can create a knowledge base and bind it to a pipeline, and the pipeline will answer questions based on the content in the knowledge base. :::info - You need to configure the embedding model before creating a knowledge base, please read [Configure Models](/en/deploy/models/readme). ::: ## Build Knowledge Base In the knowledge base page, click the `Create Knowledge Base` button, fill in the knowledge base name, select the configured embedding model, and click the `Create` button. create_kb

## Use Knowledge Base Please go to the pipeline configuration, in the "AI" page, select `Local Agent` as the runner, and select the knowledge base you just created below. use_kb

:::info Only when the runner is `Local Agent`, can you use the LangBot native knowledge base, if you want to use the knowledge base with other runners, please refer to the documentation of the corresponding product. ::: Now you can use the knowledge base to chat in the `Chat Debug` or the robot bound to the pipeline: use_kb_in_chat