lnx
tantivy
lnx | tantivy | |
---|---|---|
6 | 48 | |
1,148 | 9,955 | |
1.9% | 1.6% | |
7.8 | 9.1 | |
3 months ago | 3 days ago | |
Rust | Rust | |
MIT License | MIT License |
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.
lnx
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What is Hybrid Search?
lnx - a young but promising project, utilizes Tanitvy as a backend.
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Rust Database - Ranking | OSS Insight
lnx
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lnx 0.9, the fast search engines like Elasticsearch & Algolia alternative is out! + Tech Talk
The code is located at https://github.com/lnx-search/lnx with various other tools and libraries included under the organisation, and docs available at https://docs.lnx.rs
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LNX 0.6.0 is out now! New engine, New docs, Our biggest update since the first release bring with it some of the best performance and features to date!
Hello, hello! My friendly Rustaceans! I have some exciting news as you may have already guessed. Lnx 0.6.0 is out! Don't know what Lnx is? see here: https://github.com/lnx-search/lnx
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🚀Announcing lnx! An ultra-fast, feature-rich, adaptable deployment of the tantivy search engine.
I also noticed that you were testing the engines with big long queries, MeiliSearch is very good for user-facing instant search, which means that it is designed for queries that grow over time e.g. t, to, tom, tomm, tommy. Where the last unfinished word is considered a prefix and every document that contains a prefix of the last word are considered candidates.
tantivy
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SeekStorm VS tantivy - a user suggested alternative
2 projects | 22 Mar 2024
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What is Hybrid Search?
Tantivy - a full-text indexing library written in Rust. Has a great performance and featureset.
- Tantivy – Fast, OSS full-text search library in Rust
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RAG Using Unstructured Data and Role of Knowledge Graphs
By this I presume you mean build a search index that can retrieve results based on keywords? I know certain databases use Lucene to build a keyword-based index on top of unstructured blobs of data. Another alternative is to use Tantivy (https://github.com/quickwit-oss/tantivy), a Rust version of Lucene, if building search indices via Java isn't your cup of tea :)
Both libraries offer multilingual support for keywords, I believe, so that's a benefit to vector search where multilingual embedding models are rather expensive.
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Show HN: Quickwit – OSS Alternative to Elasticsearch, Splunk, Datadog
We also implemented our schemaless columnar storage optimized for object storage.
The inverted index and columnar storage are part of tantivy [0], which is the fastest search library out there. We maintain it and we decided to build the distributed engine on top of it.
[0] tantivy github repo: https://github.com/quickwit-oss/tantivy
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Pg_bm25: Elastic-Quality Full Text Search Inside Postgres
The issue for geo search is here: https://github.com/quickwit-oss/tantivy/issues/44
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Grimoire - A recipe management application.
Search index : Custom-built using tantivy.
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A Compressed Indexable Bitset
The roaring bitmap variant is used only for the optional index (1 docid => 0 or 1 value) in the columnar storage (DocValues), not for the inverted index. Since this is used for aggregation, some queries may be a full scan.
The inverted index in tantivy uses bitpacked values of 128 elements with a skip index on top.
> I didn't follow the rest of your comment, select is what EF is good at, every other data structure needs a lot more scanning once you land on the right chunk. With BMI2 you can also use the PDEP instruction to accelerate the final select on a 64-bit block
The select for the sparse codec is a [simple array index access](https://github.com/quickwit-oss/tantivy/blob/main/columnar/s...), that is hard to beat. Compression is not good near the 5k threshold though.
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Job: Rust + Retrieval Systems at Etsy
Hi /r/rust, I’m a SWE on Etsy’s Retrieval Systems team where we’re building a platform based on rust and tantivy (https://github.com/quickwit-oss/tantivy). We’re looking to bring two new engineers onto the team.
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Announcing Velo - Your Rust-Powered Brainstorming and Note-Taking Tool
Quick Search: Easily find specific notes with Velo's fuzzy-search feature, powered by tantivy. tantivy might have been a little overkill, but it was really easy to integrate.
What are some alternatives?
Toshi - A full-text search engine in rust
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
vector - A high-performance observability data pipeline.
surrealdb - A scalable, distributed, collaborative, document-graph database, for the realtime web
milli - Search engine library for Meilisearch ⚡️
full_search - Flutter full-text search plugin build on Tantivy supports async。 基于 Tantivy 实现的 Flutter 本地全文搜索插件(支持 async)
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
heim - Cross-platform async library for system information fetching 🦀
quickwit - Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.
fselect - Find files with SQL-like queries