Qdrant FastEmbed 嵌入¶

LlamaIndex 支持 FastEmbed 用于生成嵌入。

如果你在 Colab 上打开此 Notebook，你可能需要安装 LlamaIndex 🦙。

输入 [ ]

%pip install llama-index-embeddings-fastembed

%pip install llama-index-embeddings-fastembed

输入 [ ]

%pip install llama-index

%pip install llama-index

要使用此提供程序，需要安装 fastembed 包。

输入 [ ]

%pip install fastembed

%pip install fastembed

支持的模型列表可以在这里找到。

输入 [ ]

from llama_index.embeddings.fastembed import FastEmbedEmbedding

embed_model = FastEmbedEmbedding(model_name="BAAI/bge-small-en-v1.5")

from llama_index.embeddings.fastembed import FastEmbedEmbedding embed_model = FastEmbedEmbedding(model_name="BAAI/bge-small-en-v1.5")

100%|██████████| 76.7M/76.7M [00:18<00:00, 4.23MiB/s]

输入 [ ]

embeddings = embed_model.get_text_embedding("Some text to embed.")
print(len(embeddings))
print(embeddings[:5])

embeddings = embed_model.get_text_embedding("Some text to embed.") print(len(embeddings)) print(embeddings[:5])

384
[-0.04166769981384277, 0.0018720313673838973, 0.02632238157093525, -0.036030545830726624, -0.014812108129262924]