Guide
RAG done right: ingestion and chunking
Good RAG starts before the question. Upload the file, let embeddings finish, then ask a locatable question. AshnaAI links the file to the chat first and embeds in the background. It does not train on the document.
AshnaAI
Ingest on purpose
A file that is not attached cannot ground an answer. Upload first.
Evaluate after embedding
If the status is stale, restart. If the file is a scan, expect weaker retrieval. Then ask again.
Frequently asked questions
- What is ingestion in AshnaAI?
- Parsing a user file, storing an embedding job, and linking the file key to the chat.
- Do I pick a chunk size?
- Not in the first-user path. The product embeds chat files with a default type of chatWithFile.
- Why did retrieval miss a paragraph?
- The job may be stale, the scan may be an image, or the question is too broad. Retry with a locator.
- Is this fine-tuning?
- No. It is retrieval-augmented generation.
- Where is the research?
- Grounding agents in user files.
Tags
#RAG#chunking
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