Production-ready Inference, Ingestion and Indexing built in Rust 🦀

colpali embed4 embedding-models indexing information-retrieval ingestion jina large-language-models late-interaction machine-learning modernbert onnx onnxruntime openai rag rust rust-lang splade vector-database vision-language-model
2 Open Issues Need Help Last updated: Jun 30, 2025

Open Issues Need Help

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[request] Wasm support about 2 months ago

AI Summary: The task is to add WebAssembly (Wasm) support to the EmbedAnything project. This involves identifying and resolving incompatibilities between existing dependencies (like `getrandom`, `rust-tls`, and `image`) and the Wasm environment, enabling the project to be compiled and run within a web browser.

Complexity: 5/5
help wanted

Production-ready Inference, Ingestion and Indexing built in Rust 🦀

Rust
#colpali#embed4#embedding-models#indexing#information-retrieval#ingestion#jina#large-language-models#late-interaction#machine-learning#modernbert#onnx#onnxruntime#openai#rag#rust#rust-lang#splade#vector-database#vision-language-model

AI Summary: The task is to assess the feasibility and plan the implementation of WebAssembly (Wasm) support for the EmbedAnything project. This involves identifying and resolving incompatibilities between existing dependencies and the Wasm environment, potentially requiring dependency updates or replacements. The roadmap already mentions Wasm support, so this task would involve detailing the steps and challenges involved in achieving it.

Complexity: 4/5
help wanted

Production-ready Inference, Ingestion and Indexing built in Rust 🦀

Rust
#colpali#embed4#embedding-models#indexing#information-retrieval#ingestion#jina#large-language-models#late-interaction#machine-learning#modernbert#onnx#onnxruntime#openai#rag#rust#rust-lang#splade#vector-database#vision-language-model