charabia
Typesense
charabia | Typesense | |
---|---|---|
5 | 131 | |
211 | 17,965 | |
4.7% | 2.7% | |
8.4 | 9.8 | |
4 days ago | 8 days ago | |
Rust | C++ | |
MIT License | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
charabia
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tashkil: a lightweight library for removing Arabic diacritics
I hope to use this to submit a PR to meilisearch/charabia in the future based on the excellent example by benny-n in his pull request adding Hebrew support.
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Postgres Full Text Search vs. the Rest
Good to know. If you find some Russian language support improvement we can do, don't hesitate to create an issue on our tokeniser https://github.com/meilisearch/charabia.
Moreover, it's Hacktoberfest. If you want to help us improve the language support, it would be awesome!
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Meilisearch just announced its $15M Serie A, the search Rust engine strikes again
The Language support is mainly handled by the tokenizer where you can find specialized Segmenters and Normalizers that target some Language subtilities: https://github.com/meilisearch/charabia
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ZincSearch – lightweight alternative to Elasticsearch written in Go
Hi @tommoor
I work at Meilisearch so maybe a biased answer.
We do support other languages than English, it actually depends on what are the languages supported by our tokenizer https://github.com/meilisearch/charabia, so any language that uses whitespace to separate words(including English), Chinese, Japanese, Hebrew and Thai (Japaneze and Thai might work a little bit less)
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Where to start to learn about implementing website's search engine?
Hello u/pkeep-go, at MeiliSearch we are implementing with the help of a contributor the CJK language support. We already have the Chinese support with Jieba but a contributor is adding the Korean and Japaneese support with Lindera. For us, it's really important to have people trying and helping us with languages we don't speak. If you want to make any contribution on the tokenization/language support part, we'll be happy to help!
Typesense
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FlowDiver: The Road to SSR - Part 1
Disregarding props-drilling technique in favor of a more reliable and elegant solution we looked for inspiration elsewhere. Another project of ours .find was using Typesense/Algolia components, which looked a bit like black-box/magic, but at the same time provided a clean approach to build complex and highly customizable solutions.
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Release Radar · April 2024 Edition: Major updates from the open source community
Have you ever tried to look up something, only to realise your search engine doesn't recognise your typos? Typesense to the rescue! It's a fast, typo-tolerant search engine built for an easier browsing experience. The latest version comes with new features such as built-in conversational search, image search, voice search, analytics, and more. Dive into the release notes for the full list of changes and enhancements.
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Website Search Hurts My Feelings
There are actually plenty of non-ES products that are way easier to integrate and tune (and get better results with less effort).
- Typesense (https://github.com/typesense/typesense)
- Algolia
- Google Programmable Search Engine (https://programmablesearchengine.google.com/about/)
- Remote Machine Learning and Searching on a Raspberry Pi 5
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Open Source alternatives to tools you Pay for
Typesense - Open Source Alternative to Algolia
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DNS record "hn.algolia.com" is gone
If you like your penny take a look at Typesense https://typesense.org/ - nothing to complain here. Especially nothing complain about pricing.
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Vector databases: analyzing the trade-offs
I work on Typesense [1] (historically considered an open source alternative to Algolia).
We then launched vector search in Jan 2023, and just last week we launched the ability to generate embeddings from within Typesense.
You'd just need to send JSON data, and Typesense can generate embeddings for your data using OpenAI, PaLM API, or built-in models like S-BERT, E-5, etc (running on a GPU if you prefer) [2]
You can then do a hybrid (keyword + semantic) search by just sending the search keywords to Typesense, and Typesense will automatically generate embeddings for you internally and return a ranked list of keyword results weaved with semantic results (using Rank Fusion).
You can also combine filtering, faceting, typo tolerance, etc - the things Typesense already had.
[1] https://github.com/typesense/typesense
[2] https://typesense.org/docs/0.25.0/api/vector-search.html
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Creating an advanced search engine with PostgreSQL
For something small with a minimal footprint, I'd recommend Typesense. https://github.com/typesense/typesense
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Obsidian Publish full text search
I haven’t used Publish, but I’d assume you could use something like https://typesense.org/ to index and search the vault.
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DynamoDB search options
A cheaper option would be to use https://typesense.org. You can use DynamoDb streams to automatically load records. It has worked well for me.
What are some alternatives?
pagefind - Static low-bandwidth search at scale
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
ElasticPress - A fast and flexible search and query engine for WordPress.
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
Apache Solr - Apache Lucene and Solr open-source search software
sql - Query your data using familiar SQL or intuitive Piped Processing Language (PPL)
meilisearch-laravel-scout - MeiliSearch integration for Laravel Scout
redb - An embedded key-value database in pure Rust
loki - Like Prometheus, but for logs.
postgres-elasticsearch-fdw - Postgres to Elastic Search Foreign Data Wrapper
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.