Does it support large-scale multimodal documents?

[wangxingjun778]

This is a very interesting approach with a high degree of completeness. 😄👍🏻

Additionally, I’m curious whether there are challenges when dealing with large-scale documents—such as high token consumption, slow tree structure generation, retrieval efficiency issues, multi-hop reasoning problems, or difficulties in understanding multimodal content.

[tmishinev]

I was looking at the same issue. Looks good for small collections but for large datasets you will need some tree selection before the retrieval step I guess. There is some hint that there will be a follow up:

Multi-Node Reasoning with Content Extraction — Scale tree search to extract and select relevant content from multiple nodes.
Multi-Document Search — Enable reasoning-based navigation across large document collections, extending beyond a single file.
Efficient Tree Search — Improve tree search efficiency for long documents with a large number of nodes.
Expert Knowledge Integration and Preference Alignment — Incorporate user preferences or expert insights by adding knowledge directly into the LLM tree search, without the need for fine-tuning.