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Version: DEV

Extract table of contents

Extract table of contents (TOC) from documents to provide long context RAG and improve retrieval.

During indexing, this technique uses LLM to extract and generate chapter information, which is added to each chunk to provide sufficient global context. At the retrieval stage, it first uses the chunks matched by search, then supplements missing chunks based on the table of contents structure. This addresses issues caused by chunk fragmentation and insufficient context, improving answer quality.

WARNING

Enabling TOC extraction requires significant memory, computational resources, and tokens.

Prerequisites​

The system's default chat model is used to summarize clustered content. Before proceeding, ensure that you have a chat model properly configured:

Set default models

Quickstart​

  1. Navigate to the Configuration page.

  2. Enable TOC Enhance.

  3. To use this technique during retrieval, do either of the following:

    • In the Chat setting panel of your chat app, switch on the TOC Enhance toggle.
    • If you are using an agent, click the Retrieval agent component to specify the dataset(s) and switch on the TOC Enhance toggle.

Frequently asked questions​

Will previously parsed files be searched using the TOC enhancement feature once I enable TOC Enhance?​

No. Only files parsed after you enable TOC Enhance will be searched using the TOC enhancement feature. To apply this feature to files parsed before enabling TOC Enhance, you must reparse them.