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Pricing sourced from GroundX · Last verified March 2026
GroundX is a managed end-to-end RAG service, while Pinecone is a vector database and LlamaIndex/LangChain are orchestration frameworks. With GroundX you send documents to one API and get accurate retrieval back; with the alternatives you assemble parsing, chunking, embedding, indexing, and retrieval yourself. EyeLevel has published benchmarks claiming 50-120% accuracy gains on complex enterprise documents versus those frameworks. Choose GroundX when you want speed-to-production and accuracy on visually complex documents; choose the alternatives when you need full control over every component or have unusual retrieval requirements.
Yes. GroundX is one of the few RAG platforms that supports a fully on-premises deployment, which is its primary positioning per the EyeLevel website ("RAG on-Prem"). This makes it suitable for healthcare, financial services, defense, and government customers who cannot send documents to a third-party SaaS. The cloud-hosted API is also available for teams without strict data residency requirements. On-prem deployments require your team to provision and operate the underlying infrastructure.
GroundX ingests PDFs, Word documents, PowerPoint, Excel, HTML, plain text, and scanned images. Its X-Ray parser is a vision-language model that extracts structured information from tables, charts, diagrams, and figures, converting them into LLM-readable text rather than discarding visual content as most parsers do. This is the main reason GroundX outperforms generic RAG stacks on documents like financial reports, technical manuals, and scientific papers where critical information lives inside visual elements.
GroundX uses enterprise pricing and does not publish a public price list — quotes are scoped to document volume, query volume, deployment model (cloud vs on-prem), and security requirements. Compared to the roughly four other enterprise RAG and knowledge platforms in our directory, this is typical: vendors targeting regulated industries usually price per deployment rather than per seat. Smaller teams looking for transparent pay-as-you-go pricing will likely find Pinecone or LlamaIndex Cloud more accessible.
GroundX is built by EyeLevel.ai, a RAG-focused company founded in 2021 and backed by enterprise customers in regulated industries. The company maintains the X-Ray document parser, the GroundX API, and the on-premises distribution. Their public technical content includes head-to-head benchmarks against LangChain and LlamaIndex, and they position the product specifically for enterprise AI engineering teams rather than the broader developer market.
AI builders and operators use GroundX to streamline their workflow.
Try GroundX Now →Vector database designed for AI applications that need fast similarity search across high-dimensional embeddings. Pinecone handles the complex infrastructure of vector search operations, enabling developers to build semantic search, recommendation engines, and RAG applications with simple APIs while providing enterprise-scale performance and reliability.
Compare Pricing →Open-source vector database enabling hybrid search, multi-tenancy, and built-in vectorization modules for AI applications requiring semantic similarity and structured filtering combined.
Compare Pricing →LlamaIndex: Build and optimize RAG pipelines with advanced indexing and agent retrieval for LLM applications.
Compare Pricing →Document ETL engine that converts messy PDFs, Word files, and images into AI-ready structured data with intelligent chunking.
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