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Co-authored-by: April I. Murphy <36110273+aimurphy@users.noreply.github.com>
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Mendon Kissling 2025-10-28 13:43:34 -04:00 • committed by GitHub
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docs/docs/get-started/what-is-openrag.mdx
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@ -87,7 +87,11 @@ The **OpenRAG Frontend** provides the user interface for interacting with the sy
## Performance expectations
On a local VM with 7 vCPUs and 8 GiB RAM, OpenRAG ingested ~5.03 GB across 1,083 files in ~42 minutes, or ~2.4 documents per second. You can generally expect equal or better performance on developer laptops and significantly faster on servers. Throughput scales with CPU cores, memory, storage speed, and configuration choices such as embedding model, chunk size and overlap, and concurrency.
On a local VM with 7 vCPUs and 8 GiB RAM, OpenRAG ingested approximately 5.03 GB across 1,083 files in about 42 minutes.
This equates to approximately 2.4 documents per second.
You can generally expect equal or better performance on developer laptops and significantly faster on servers.
Throughput scales with CPU cores, memory, storage speed, and configuration choices such as embedding model, chunk size and overlap, and concurrency.
The 12 errors (~1.1%) were file‑specific and did not stop the pipeline.