awinml/voyage-embedders-haystack

Custom components for Haystack for creating embeddings and reranking documents using the VoyageAI Models.

56
/ 100
Established

Provides specialized Haystack components for Voyage's embedding models, including multimodal embeddings (text, images, videos) and contextualized chunk embeddings that preserve semantic relationships within documents. Supports flexible output dimensions and multiple data types (float, int8, binary, etc.), with dedicated components for queries, documents, and reranking via the Voyage API. Integrates directly into Haystack pipelines for semantic search and retrieval workflows.

6 stars and 1,414 monthly downloads. Available on PyPI.

Maintenance 13 / 25
Adoption 11 / 25
Maturity 18 / 25
Community 14 / 25

How are scores calculated?

Stars

6

Forks

3

Language

Python

License

Apache-2.0

Last pushed

Mar 09, 2026

Monthly downloads

1,414

Commits (30d)

0

Dependencies

4

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