Ask HN: Best Embedding Models?

Benchmarks only paint part of the picture, but it's still a decent place to start looking into recent models:

https://huggingface.co/spaces/mteb/leaderboard

I've liked qwen and embeddinggemma for local search. Qwen because 32K is enough to basically fit a whole page into the context window and embeddiggemma because it's crazy efficient.

Cohere's embed-v4.0 is my daily driver as far as a high performance model is concerned. I do a lot of cluster analysis and data visualization and I like that there's an `input_type="clustering"` mode in addition to the standard `input_type="search"` mode.

For a fast, open, and local model, I've found it hard to beat https://huggingface.co/sentence-transformers/all-MiniLM-L6-v...

I’ve been using MixedBread, which is a pretty old model at this point. Recently, I tried comparing it to some newer models and was disappointed that the results weren’t dramatically and uniformly better.

You probably can’t go wrong if you pick a recent one that scores decently well on benchmarks and is at the right price point (or memory requirement) for whatever you’re trying to do.

I am using openai small embedding model with custom compression. It is super cheap. You can read more at https://corvi.careers/blog/vector-search-embedding-compressi...

Just fyi, for RAG/similarity search, adding a reranker was much bigger pay off than switching embedding models.

Feels like embeddings are underrated compared to LLM's hype, but they doing great.

Meta's Perception Encoder Audio-Visual, its CLIP like but has three modality: Audio, Video and Text

I’m partial to jina.ai — they have open models for code and prose, all easily runnable locally.

not a single "of what data" or "in what env"

best in what?

embeddings are easy to fine tune. Try modern bert.

please check OpenAI embedding models - especially small one

E5 (Microsoft)

who knows a tool for rug check in crypto

gemma4