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MeiliSearch
A lightning-fast search engine that fits effortlessly into your apps, websites, and workflow.
This looks like an effective piece for a project I have. It would be significantly more effective if it was published on crates.io and could be instantiated within Rust, and was able to operate in memory (or have a filesystem passed to it, so that can be simulated)
I found this issue which tracks crates.io publication: https://github.com/meilisearch/meilisearch/issues/3367
Would be nice to see that made a priority. Having a powerful search engine that can be embedded in a larger application and made portable (like being able to deploy to WASM) would be extremely novel and valuable. Given Rust is already in use, I think it may not necessarily demand too much effort. When search becomes a focus for what I’m working on, perhaps I will make that happen if not already done yet.
Thanks for making this available to people.
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Typesense
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
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Is it really "just a single statically linked binary"?
I'd love to use Meilisearch as you describe, but their so-called SDKs are just about for the search client, you still need the HTTP server listening on localhost.
I would love to see something like SQLite based off Meilisearch (i.e. a fully selfcontained library like https://github.com/mchaput/whoosh). Do you know if such a thing exists?
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typesense-website
Typesense website and documentation | An open source search engine alternative to Algolia & Elasticsearch
Hmmm, I remember those emails and I did reply to gmourier, and made almost all of the changes you pointed out, to our comparison page. Here's [1] the exact commit with the changes I made.
The only one change I didn't make is the one about Meilisearch not being constrained by RAM, because of reports like this [2] I've seen in the past and because I saw this in your docs:
https://docs.meilisearch.com/learn/advanced/storage.html#mem...
>For the best performance, it is recommended to provide the same amount of RAM as the size the database takes on disk, so all the data structures can fit in memory.
[1] https://github.com/typesense/typesense-website/commit/0103ff...
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Is there a way to run it in WASM, to get something like Lunr[1]? We prefer to do our (small-index, <2MB) search client-side for a bunch of reasons, currently using Lunr.js, but it's a bit annoying and the typeahead search is something I improvised and not really official.
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You could have a look at https://github.com/lucaong/minisearch/
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You can query Meilisearch directly from ClickHouse with the integrated table function: https://github.com/ClickHouse/ClickHouse/pull/33332
This feature was a student project, and I'm not sure if it will find its usage.
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