← all entries
A-TIER repo

RAG-Anything + LightRAG — multimodal graph RAG for images, charts and docs

chase.h.ai · 2026-04-03T04:34:56.000Z · in AI Saves, Vol. 4
Open post ↗

100k ft — What is this?

RAG-Anything + LightRAG — multimodal graph RAG for images, charts and docs
repoA-tier

50k ft — Why care?

LightRAG builds knowledge-graph RAG but only ingests text; pairing it with RAG-Anything adds images, charts, graphs and other non-text documents. The combo runs fully local or cheaply and plugs into Claude Code.
LLMagentsopen source

10k ft — Key takeaways

• Both can run locally for near-zero inference cost • RAG-Anything fills LightRAG's text-only ingestion gap

5k ft — Tools & techniques

Claude, Claude Code, LightRAG, RAG-Anything AI agents, GraphRAG, RAG, multimodal RAG

1k ft — Deep-dive / try it

Comment “agent” to get my Claude code guides
Transcript excerpt
One of the biggest problems plaguing most RAG systems is that you can't ingest documents that aren't text. And while a light RAG is awesome, it's one of those RAG systems that has this issue. However, if we combine that with RAG anything, we can solve that problem and create a RAG system, a graph RAG system that can handle both text and any other sort of document, whether that's image, charts, graphs, you name it. So if you're looking for a RAG system that you can either run completely locally or vary inexpensively, the RAG anything plus light RAG combo can't be beat. And you can combine it with clock code.

Appears in

More from @chase.h.ai

Collection: AI Saves, Vol. 4