Docs
Everything you need to build with Memora
Start here for repository context, example flows, and the machine-readable docs surface used by the app.
LLMs text
A concise machine-readable overview of the product surface.
LLMs full text
The expanded repository-wide context and product summary.
Chat with PDF example
End-to-end example for uploading and querying documents.
Sales coaching example
Interactive example showing structured analysis workflows.
What is RAG?
Retrieval-Augmented Generation combines your own documents with model output, so answers come from the content you control rather than generic model memory.
The app itself is built around Memora. If you need the lower-level API contract, use the example routes above or inspect the API package README in the repository.