chroma

https://news.ycombinator.com/item?id=40115099 : > lancedb/lance is faster than pandas with dtype_backend="arrow" and has a vector index From https://github.com/lancedb/lance : > Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, > [...] Vector Search > Comparison of different data formats in each stage of ML development cycle: Lance, Parquet & ORC, JSON & XML, TFRecord, Database, Warehouse What can ChromaDB do that lancedb can't, and will either work in WASM? From https://github.com/chroma-core/chroma : > By default, Chroma uses Sentence Transformers to embed for you but you can also use OpenAI embeddings, Cohere (multilingual) embeddings, or your own.

Chroma looks good. https://github.com/chroma-core/chroma 10k+ stars, very easy to use, and can be used as an embedding database

For Python I believe Chroma [1] can be used embedded. For Go I recently started building chromem-go, inspired by the Chroma interface: https://github.com/philippgille/chromem-go It's neither advanced nor for scale yet, but the RAG demo works. [1] https://github.com/chroma-core/chroma