LlamaIndex is a “data framework” to help build LLM apps. It provides data connectors to ingest existing data sources and formats and enables data to be structured and easily used with LLMs.
LlamaIndex and Zilliz
LlamaIndex and Zilliz are partnering to help developers quickly create scalable LLM applications by facilitating intelligent prompting, routing queries, and injecting domain-specific data. LlamaIndex manages LLM interactions by taking data and building an index around it; then, it uses the index to help answer questions related to the data input. Together with a vector database like Milvus or Zilliz, these indexes are stored for faster retrieval and better scalability.
Boost your LLM with Private Data using LlamaIndex
In this on-demand session, LlamaIndex co-founder and CEO Jerry Liu shares details on how he built LlamaIndex, the various tools LlamaIndex contains, and how you can get started enriching your LLM with private data. The session ends with an overview of how to use LlamaIndex with Milvus or Zilliz Cloud.