StarlightSearch/EmbedAnything
A Rust-based high-performance embedding generation, ingestion, and vector indexing library with Python bindings for AI retrieval pipelines.
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EmbedAnything provides memory-safe, modular embedding generation and indexing capabilities for AI applications. It supports multisource and multimodal data ingestion with ONNX runtime inference, enabling fast vector database operations for RAG systems and LLM pipelines. Built in Rust with Python bindings, it targets production-ready local deployment with a focus on performance and modularity.
Frequently asked
- What is StarlightSearch/EmbedAnything?
- A Rust-based high-performance embedding generation, ingestion, and vector indexing library with Python bindings for AI retrieval pipelines.
- Is EmbedAnything open source?
- Yes — StarlightSearch/EmbedAnything is open source, released under the Apache-2.0 license.
- What language is EmbedAnything written in?
- StarlightSearch/EmbedAnything is primarily written in Rust.
- How popular is EmbedAnything?
- StarlightSearch/EmbedAnything has 1.3k stars on GitHub.
- Where can I find EmbedAnything?
- StarlightSearch/EmbedAnything is on GitHub at https://github.com/StarlightSearch/EmbedAnything.