AI & LLMs
Unleash the Power of Unstructured Data for Generative AI
Ensuring Fast, Consistent Data Access for GenAI and LLMs with Open Formats
Generative AI and Large Language Models (LLMs) use vast amounts of unstructured data. But, ingesting data from various sources can lead to slow and inconsistent data quality. As GenAI technology quickly evolves and new tools emerge, it's crucial to store data in open formats that all query engines and vector databases can access easily.
Now more than ever, to lead in the GenAI field, adopting a data lakehouse architecture is essential for managing unstructured data. Onehouse offers a fully-managed solution that simplifies this process without requiring specialized tools or expertise.
Empower Your GenAI Strategy with a Fully-Managed Universal Data Lakehouse
Build Vector Search on a Lakehouse
Accelerate Your GenAI Development
Ingest Transactional and Event Stream Data Quickly
Key Features for AI & LLMs
Continuous Ingestion
Implement low-latency, continuous ingestion of data and support checkpointing and schema evolution for robust streaming data pipelines.
Apache Hudi™ Indexing Subsystem
Track and locate records within a dataset, enabling quick updates and deletions by mapping incoming records to their locations in stored data files.
Data Quality Quarantine
Prevent unintended data from being included in your LLM model training sets by capturing upstream schema changes, malformed records, and unexpected data ranges into quarantine tables.
ELT Transformations
Clean, transform, and prepare your data for GenAI with ELT. Use pre-built no-code transformations or add your custom code to enhance your pipelines easily.
Unlock the Full Potential of AI & LLMs
Achieve Universal Access to Unstructured Data, Improve Efficiency, and Streamline Your Workflows.