Update README.md

README.md

@@ -34,4 +34,4 @@ from llama_cpp import Llama
 model = Llama(gguf_path, embedding=True)
 embed = model.embed(texts)
 ```
-Here `texts` can either be a string or a list of strings, and the return value is a list of embedding vectors. The inputs are grouped into batches automatically for efficient execution.
+Here `texts` can either be a string or a list of strings, and the return value is a list of embedding vectors. The inputs are grouped into batches automatically for efficient execution. There is also LangChain integration through `langchain_community.embeddings.LlamaCppEmbeddings`.