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 haystack_integrations.components.embedders.fastembed import FastembedTextEmbedder
text = "fastembed is supported by and maintained by Qdrant."
text_embedder = FastembedTextEmbedder(
model="BAAI/bge-small-en-v1.5"
)
text_embedder.warm_up()
embedding = text_embedder.run(text)["embedding"]
from haystack_integrations.components.embedders.fastembed 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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
fastembed_haystack-0.0.5.tar.gz
(13.2 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file fastembed_haystack-0.0.5.tar.gz.
File metadata
- Download URL: fastembed_haystack-0.0.5.tar.gz
- Upload date:
- Size: 13.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.26.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cfd02cabb3d23b8ade150e011c9b25764e7823f519827db2ad61f649a61e235e
|
|
| MD5 |
37925d0ae9626d978093439fcfba3731
|
|
| BLAKE2b-256 |
143d3a0086cab934785037b245e3f0e04649e09acf09529c5237516d2b859537
|
File details
Details for the file fastembed_haystack-0.0.5-py3-none-any.whl.
File metadata
- Download URL: fastembed_haystack-0.0.5-py3-none-any.whl
- Upload date:
- Size: 11.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.26.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
13b9a8121cc065cbd072ac8842df4c94f33f21ce82c44fcb031a2daba3efcf56
|
|
| MD5 |
96571d0626e0cabcef955536917f7258
|
|
| BLAKE2b-256 |
b57504b5b2f130ead5b5f6c245744866e9ee2ae14217786a503344abe0583b51
|