LlamaIndex supports a variety of data formats to accommodate different types of data that developers may need to work with. Primarily, it provides support for common formats such as text, JSON, CSV, and HTML. This means that whether your data is coming from a flat file, a structured database export, or even a web scrape, you can leverage LlamaIndex to ingest and manage that data effectively.
For instance, JSON support allows developers to easily work with APIs and structured data collections that are often returned in this format. If your application integrates with services that provide data in JSON, LlamaIndex can process this data format seamlessly. Similarly, CSV files, which are widely used for tabular data representation, are also compatible with LlamaIndex, making it easier to import datasets commonly used in data analysis and reporting. Text files, on the other hand, can be used for longer document parsing and analysis, which is essential for many text-processing use cases.
Additionally, LlamaIndex is expandable and can be adapted to support other formats if needed. For example, if you have data in XML or other proprietary formats, you may need to implement specific handling or converters to transform that data into a supported format before using LlamaIndex. This flexibility allows developers to choose the information sources that best fit their needs while ensuring they can integrate various data inputs without significant hurdles.