The World's Only Enterprise-Grade RAG APIs

Built on Kubernetes and fine-tuned open source models, EyeLevel's GroundX APIs deliver the most accurate, scaled and secure RAG apps in the world

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Enterprise-grade RAG without the enterprise headache

EyeLevel’s GroundX APIs are RAG done right for the enterprise. Built on Kubernetes and fine-tuned open source models, you can run GroundX in the most secure environments from your managed cloud to ours, even air-gapped iron in the bunker.
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And GroundX makes the hard stuff easy. Deploy the world's most accurate RAG pipeline on Kubernetes in just a few lines of code. No need to parse, extract, chunk, embed, search, retrieve or rerank.

See how GroundX beat Pinecone, Langchain and Llamaindex by 50-120% on accuracy.

95% accuracy, zero work

Build RAG apps with industry leading accuracy, powered by a vision model trained on 1M pages of enterprise documents and all the advanced RAG techniques under the hood. Test your docs and see for yourself.

Vision model turns your complex docs into LLM-ready data

Multimodal ingest and transform

Dynamic chunking

4X LLM summarizer

Proprietary search and re-ranker crushes vector similarity

Devs love GroundX

Get all the benefits of the world's most advanced RAG data pipeline, proprietary search and 95% accurate retrievals in just a few lines of code. Build apps as simply as ingest, search and complete. But if you want to get into the weeds, be our guest. We serve up detailed retrievals with metadata, rerank scores, source links, suggested rewrites of your content for LLM performance and more.

Go Easy: Build in just a few lines of code

Go Hard: Get all the granular retrieval data you need

Enterprise security built with over a decade of IBM experience

Securely deploy in Kubernetes anywhere from your hybrid cloud to air-gapped data centers

Keep your data safe: All your data is encrypted at rest and transit

Keep your data local: 100% built on fine-tuned open source models

Powerful search that smokes vector similarity

Our proprietary search and ranker identifies hard to find content in your knowledge base with curated retrievals that leave vectors in the dust. Read the benchmark accuracy report.

53% more accurate than LangChain / Pinecone

120% more accurate than LlamaIndex

Unlike vectors, search accuracy doesn't degrade at scale

Great retrievals: source file links and more

During RAG search, GroundX returns retrievals with all the information you need for highly performant completions that users trust

Source links for each retrieval

Proprietary ranking score

Rich metadata to improve an LLMs contextual understanding of your retrievals

Rewritten retrievals optimized for LLM completion

Bring your favorite LLM to the party

GroundX is LLM agnostic. Our APIs ingest your content, converting it to LLM-ready data, securely store your data and power search and retrieval.

For completions, connect to your preferred LLM. Read the docs.