Symphonia VS MeiliSearch

Symphonia for an amazing audio library

Are you trying to play audio from something like an internet radio station where the stream has an infinite length? The content length header is optional. It uses that to support seeking within the file. Symphonia, one of the underlying backends for Rodio, has an option to tell the decoder that the source is not seekable if the size of the file is not known. Unfortunately, Rodio currently hardcodes this setting to true https://github.com/RustAudio/rodio/blob/master/src/decoder/read_seek_source.rs#L19. I actually wrote this code a few years ago so I should know this, but I can't remember why exactly. I think there was no easy way to communicate this information to Rodio since the other backends don't have a setting like this. The other Rodio backends may handle this differently. There's a lot of great info in this discussion on the Symphonia repo about this use case which helped me with my implementation: https://github.com/pdeljanov/Symphonia/discussions/153

Everything I can find on the internet seems to be abandoned. Opus-rs, Magnum, Magnum Opus, ect. Symphonia has been working on it for over 2 years, with work still ongoing. Heck, even FFMPEG seems to not have full support yet!. Is there any library that I have overlooked that provides this functionality?

In other areas, miniz_oxide is faster than miniz, Symphonia is faster than ffmpeg on most codecs, the not-yet-announced zune-png beats both libpng and the more heavily optimized libspng, and the png crate is getting considerable improvements too and also beats libpng.

Symphonia is an audio decoder framework in 100% safe Rust supporting the most popular media formats (MP4/M4A, OGG, MKV/WebM, WAV) and audio codecs (AAC-LC, ADPCM, ALAC, FLAC, MP1/2/3, Vorbis, PCM).

The Music Player is based on Rodio, which is a high-performance audio playback library for Rust, and Symphonia, which is a Rust library for working with music metadata and audio decoding. This allows the Music Player to provide high-quality audio playback and management.

You can look at symphonia for a pure Rust solution.

We needed to introduce a new service for search. As we settled on using meilisearch, we needed a way to sync updates on our models with the records in meilisearch. We could've continued to use callbacks but we needed something better.

Meilisearch

In this case, a good strategy is to use vector search only when the keyword/prefix search returns none or just a small number of results. A good candidate for this is MeiliSearch. It uses custom ranking rules to provide results as fast as the user can type.

With the VertexAI endpoint set up and tested, our next step is to work with LibreChat. LibreChat is an open-source ChatGPT clone that can integrate with various AI models, including the PaLM 2 models via the VertexAI API. It's built using React, MongoDB, and Meilisearch technologies.

Meilisearch seems like it is the best open source option.

https://www.meilisearch.com/

Starting with v1.3, you can use Meilisearch as a vector store. Meilisearch allows you to store vector embeddings alongside your documents conveniently. You will need to create the vector embeddings using your third-party tool of choice (Hugging Face, OpenAI). As we published the first v1.3 release candidate, you can try out vector search today.

I work at Meilisearch, an open-source search engine built in Rust. 🦀

https://www.meilisearch.com/ https://github.com/meilisearch