Find by meaning.
Retrieve material related to the question, including when the wording differs from the document. Test retrieval against the questions your users actually ask.
Useful answers begin with the source.
A confident answer is not the same as a supported one. Give your AI application a way to retrieve relevant knowledge and show the reference material behind its response.
Make knowledge inspectable, not just searchable.
Aether combines document storage and retrieval with persistent memory. Your application can use the relevant source material to compose an answer and leave the reader a path back to the evidence.
Keep the document nearby.
Store sources with the retrieval layer so useful matches can lead back to their context, rather than ending at detached snippets.
Review before relying.
Present references alongside the answer. A reviewer can inspect the source, challenge the conclusion, or ask for more information.
Source-backed retrieval for your AI application.
Use Aether as the reference layer behind a knowledge assistant. Start with a curated document set and make source freshness and response quality part of your evaluation.
A closer look at AetherAetherMemory
Documents and retrieval in one platform
Relevant context for retrieval-augmented generation
Source references for inspection and follow-up
Answer a question about a project brief.
An internal assistant retrieves the rollout section of a brief and related planning notes. It points to the recorded plan while identifying a date that the documents do not confirm.
Supply the approved brief and supporting notes.
Retrieve the passages relevant to the rollout question.
Show the source references and leave the unconfirmed date as an open question.
A few useful answers.
What is retrieval-augmented generation?
RAG retrieves relevant reference material before a model composes an answer. Aether provides the retrieval context; the surrounding application controls the prompt, model, and presentation.
Does retrieval eliminate hallucinations?
No. Sources can be incomplete or outdated, and models can misinterpret them. Evaluate answers, surface references, and design the application to acknowledge missing evidence instead of guessing.
Does Aether automatically connect all our business tools?
This workflow assumes you supply the documents through a supported ingestion path. It does not promise automatic synchronization with every file store, a live Scoped integration, or a complete enterprise search replacement.