Large language models now equipped with private data thanks to LlamaIndex
The article showcases LlamaIndex, an open source project created by former Uber research scientist Jerry Liu to leverage the capabilities of large language models like GPT-3 and GPT-4. Liu discovered limitations around the models’ ability to work with private data, so he launched LlamaIndex to unlock their use cases. As the project gained popularity, Liu joined forces with Simon Suo to turn LlamaIndex into a fully fledged company. Today, LlamaIndex offers a framework that assists developers in leveraging LLMs on top of their personal or organizational data. The framework includes connectors to ingest data sources and data formats, data management and indexing tools, and a data retrieval and query interface that provides context and knowledge-augmented output. LlamaIndex recently received $8.5 million in seed funding, which will be used to build an enterprise solution atop the open source project, set to launch later this year. The solution will include protection-grade data connectors and domain-specific data indexing capabilities. Overall, LlamaIndex aims to be adaptable to evolving technology and remain a useful tool for developers.