How to use langchain.embeddings
Purpose and Functionality LangChain embeddings serve several key purposes: Semantic Representation: They capture the semantic meaning of text, allowing for…
Purpose and Functionality LangChain embeddings serve several key purposes: Semantic Representation: They capture the semantic meaning of text, allowing for…
A Retrieval Augmented Generation (RAG) chain is a system that combines the strengths of large language models (LLMs) and information…
Les tendances de l’IA générative pour 2025 montrent une progression rapide et des applications de plus en plus diversifiées dans…