Glossary

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

RAG done right: ingestion and chunking

Key Takeaways

  • Link the file to the chat before you evaluate answers.
  • Ask questions that name a section when you can.
  • Restart stale embeddings instead of switching models first.

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.

Sourcing & Methodology

Operational RAG checks on the chat-file embedding path.

Topics

#RAG#chunking

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Frequently asked questions

Everything You Need to Know

Parsing a user file, storing an embedding job, and linking the file key to the chat.

Not in the first-user path. The product embeds chat files with a default type of chatWithFile.

The job may be stale, the scan may be an image, or the question is too broad. Retry with a locator.

No. It is retrieval-augmented generation.

Grounding agents in user files.

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