Haystack 2.x component to embed strings and Documents using fastembed embedding model
Project description
fastembed-haystack
Table of Contents
Installation
pip install fastembed-haystack
Usage
You can use FastembedTextEmbedder
and FastembedDocumentEmbedder
by importing as:
from fastembed_haystack.fastembed_text_embedder import FastembedTextEmbedder
text = "fastembed is supported by and maintained by Qdrant."
text_embedder = FastembedTextEmbedder(
model="BAAI/bge-small-en-v1.5"
)
embedding = text_embedder.run(text)
from fastembed_haystack.fastembed__document_embedder import FastembedDocumentEmbedder
from haystack.dataclasses import Document
embedder = FastembedDocumentEmbedder(
model="BAAI/bge-small-en-v1.5",
)
embedder.warm_up()
doc = Document(content="fastembed is supported by and maintained by Qdrant.", meta={"long_answer": "no",})
result = embedder.run(documents=[doc])
License
fastembed-haystack
is distributed under the terms of the Apache-2.0 license.
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