Get more relevant responses by splitting documents into chunks
Ensure responses are relevant to user intents by using customizable document splitting or chunking.
- Ensure accuracy in the data ingestion process with any type of data
- Tailor document splitting to your business needs
- Instill confidence in the RAG process through custom chunking
Extraction
Key Features
- Understand document characteristics like layouts, text, tables, images and more.
- Adjust your extraction strategies based on your specific document layout.
- Provide contextually coherent chunks by identifying distinct patterns within the text using intelligent chunking.
- Gain visibility of extraction pipeline outputs.
- Review and verify that chunks are complete, accurate, and aligned with your business requirements.
- Edit chunks directly within the browser, or add additional information to supplement or enhance them.
- Dynamically resize chunk boundaries to ensure they align with desired content limits.
- Eliminate overlaps and make precise adjustments by correcting and realigning chunk boundaries.
- Provide more context through creating relationships within document elements including title, text, tables and images.
- Enable streamlined data preparation by exploring, cleaning and transforming, data in a structured manner.
- Customize and fine-tune the configuration of of each parameter.
- Rearrange or sequence stages according to your specific requirements.
- Provides out-of-the-box support for popular embedding models like MPNet, LaBSE, e5, and many more.
- Choose the specific chunk fields on which embeddings are generated to focus on the aspects that matter most.
- Reach more customers by using multilingual capabilities powered by embedding models.
