infrause case
Multimodal RAG that actually reasons
Top-k chunking falls apart on multi-hop questions and ignores tables, charts, audio and video. OpenGraph AI returns ranked subgraphs that include every modality, so your LLM gets structured context instead of a wall of nearest-neighbor text.
graph.preview
8 nodes · 10 edges
drag nodes · scroll to zoom · click to inspect
what you get
- Beats vector-only RAG on multi-hop benchmarks
- Streams partial subgraphs to the LLM as it reasons
- Pluggable rerankers and graph walkers
- Works with any embedding model and any LLM
sources in
- → PDFs
- → Audio / video
- → Tables (CSV/Parquet/SQL)
- → Web pages
what comes out
- ◇ Ranked subgraphs
- ◇ Structured context windows
- ◇ Trace logs
example
A question your agent can now answer.
agent.session
> ask
Summarize Q3 customer concerns mentioning pricing across calls and tickets.
> graph
→ 3 customers · 4 calls · 6 tickets · 1 chart. Subgraph returned with citations.
Playground
Drop a file.Watch a graph appear.
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