Using LlamaIndex with Elasticsearch for RAG Retrieval-Augmented Generation

Using LlamaIndex with Elasticsearch for RAG Retrieval-Augmented Generation

Retrieval-Augmented Generation (RAG) is a technology that combines retrieval and generation, effectively addressing some issues of large language models (LLMs), such as hallucinations and knowledge limitations. With the development of RAG technology, vector technologies involved in RAG have gained attention, and vector databases are gradually being understood by everyone. Some established database vendors have also … Read more

MCP Server Development: Seamless Integration of LLM and Elasticsearch

MCP Server Development: Seamless Integration of LLM and Elasticsearch

It is recommended to click on the original text at the bottom of the article for a better reading experience, including displaying external links and viewing high-definition illustrations. In the article that introduces MCP (Model Context Protocol), we quickly covered the basic concepts of MCP and provided an example to give readers an initial feel … Read more