In this guest post, Filip Haltmayer, a Software Engineer at Zilliz, explains how LangChain and Milvus can enhance the usefulness of Large Language Models (LLMs) by allowing for the storage and retrieval of relevant documents. By integrating Milvus, a vector database, with LangChain, LLMs can process more tokens and improve their conversational abilities.
📝 Guest Post: How to Enhance the Usefulness of Large Language Models*
📝 Guest Post: How to Enhance the Usefulness…
📝 Guest Post: How to Enhance the Usefulness of Large Language Models*
In this guest post, Filip Haltmayer, a Software Engineer at Zilliz, explains how LangChain and Milvus can enhance the usefulness of Large Language Models (LLMs) by allowing for the storage and retrieval of relevant documents. By integrating Milvus, a vector database, with LangChain, LLMs can process more tokens and improve their conversational abilities.