99% SEARCH AND RETREIVAL ACCURACY FOR CHAT SOLUTIONS
GroundX for Engagement
GroundX Chat turns enterprise information into LLM-ready knowledge so your team and customers can get accurate answers from proprietary content in real time.
GroundX Chat turns enterprise information into LLM-ready knowledge so your team and customers can get accurate answers from proprietary content in real time.
GroundX Ingest directly tackles the largest cause of hallucination in RAG applications... garbage in / garbage out.
GroundX merges two state-of-the-art-models: a vision model and a multimodal model. We then fine tune the system on nearly 1M pages of enterprise documents across many verticals.
This lets us correctly parse complex visual pages by identifying the different text, tabular and image objects on each page.
The colored boxes in the image below are generated by our vision model. Notice how the model identifies different text blocks on the page and correctly recognizes the complex flow chart.
Unmatched Scalability
Most RAG systems falter as the volume grows, losing search accuracy in just 10K pages. GroundX Search maintains its precision across millions of pages, giving you consistent and reliable performance no matter how much your data grows. GroundX showed 6X less accuracy degradation at scale than Pinecone, in recent research.
A Unique Hybrid Approach to Search
GroundX blends the strengths of text, vector, and micro graph search into a unified framework. This hybrid approach offers fine-tuned control, allowing you to achieve optimal results tailored to your application’s unique needs.
Fine-Tuned Reranker for Optimal Results
At the core of GroundX Search is a custom fine-tuned reranker model that selects the most relevant results from text, vector, and micro graph searches. This ensures that your queries consistently return the best possible answers, even in the most challenging datasets.
