beir
orama
beir | orama | |
---|---|---|
8 | 12 | |
1,388 | 8,095 | |
4.0% | 3.3% | |
4.2 | 9.4 | |
about 2 months ago | 2 days ago | |
Python | TypeScript | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
beir
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On building a semantic search engine
The BEIR project might be what you're looking for: https://github.com/beir-cellar/beir/wiki/Leaderboard
- BEIR: A Heterogeneous Benchmark for Information Retrieval
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Benefits of hybrid search
Custom datasets can also be evaluated using this method as specified in this link. This article and the associated benchmarks script can be reused to evaluate what method works best on your data.
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Meilisearch vs. Elasticsearch
> Meilisearch focuses on simplicity, relevancy, and performance.
> excellent relevance out of the box
> if ease of use, performance, and relevancy are important to you, Meilisearch was made for you
Is there a benchmark that shows Meilisearch outperforming Elasticsearch in terms of relevance score? I couldn't find Meilisearch listed on https://github.com/beir-cellar/beir.
- Manticore 6.0.0 – a faster alternative to Elasticsearch in C++
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An alternative to Elasticsearch that runs on a few MBs of RAM
There are actually benchmarks that allow measuring search relevancy objectively, e.g. BEIR[1]. Manticore Search team did an effort to make a PR to include it to the list. The results are here [2]. Unfortunately the BEIR team seems to be too busy to review a whole pile of PRs including about Vespa. Nevertheless it would be nice to have both Meilisearch and Typesense there too since it's interesting what performance those non-tf-idf based search engines would show compared to BM25-based and vector search engines.
[1] https://github.com/beir-cellar/beir
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Manticore Search: Elasticsearch Alternative
True! Here's a pull request to BEIR to compare Manticore with Elasticsearch in terms of relevance https://github.com/beir-cellar/beir/pull/92. Spoiler: in this test Manticore provides better relevance than Elasticsearch in average. Of course you can tune both further and Elasticsearch now has KNN which when combined with BM25 can give even better relevance. In general I would say for most users the results quality in terms of full-text relevance is about the same in Elasticseach and Manticore.
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Manticore: a faster alternative to Elasticsearch in C++ with a 21-year history
But there's for example BEIR that compared BM25 vs state of the art ML language models and it turned out BM25 is in average better than all of them unless you rerank top 100 results from Elasticsearch using the language models. With Manticore you can get even better relevance than with Elasticsearch. We made a pull-request to BEIR to demonstrate that https://docs.google.com/spreadsheets/d/1_ZyYkPJ_K0st9FJBrjbZqX14nmCCPVlE_y3a_y5KkYI/edit#gid=0
orama
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Vector Search is Eating the Web
Orama, an open-source, edge-first hybrid search engine highlights the industry's shift towards more efficient, accurate, and scalable solutions. Recent trends indicate a shift from traditional search solutions to more modern and efficient answering engines like Orama, evidenced by the search features on both Node.js and SolidJS that were formerly powered by Algolia, but are now powered by Orama.
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Sky's the Limit! Supercharging Your Astro Blog with Orama, the Ultimate Stargazing Search Engine!
Let's break into the steps to utilize Orama and analyze how it works. I won't dig into the technical stuff because, hey, it's an open-source project, which means you can easily peek at the source code, no problemo!
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OramaSearch, a full-text search in your React application
If you are interested in it, you can learn more about it in the official documentation. And don't forget to follow Orama on Twitter and Michere Riva its CTO.
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Why I love GitLens in my VsCode - Part 1
I'll use the Lyra repository for this article, so thanks to the Lyra contributors if this article has a great git history and awesome code.
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What is your go to client-side fuzzy searching library?
You can checkout lyra, its in-memory full text search engine for javascript
- An alternative to Elasticsearch that runs on a few MBs of RAM
- Lyra
- Lyra: Fast, in-memory, typo-tolerant, full-text search engine in TypeScript
What are some alternatives?
columnar - Manticore Columnar Library
flexsearch - Next-Generation full text search library for Browser and Node.js
hub
Lyra - A simple to use, composable, command line parser for C++ 11 and beyond
manticoresearch - Easy to use open source fast database for search | Good alternative to Elasticsearch now | Drop-in replacement for E in the ELK soon
minisearch - Tiny and powerful JavaScript full-text search engine for browser and Node
ui - https://db-benchmarks.com website
regex-benchmark - It's just a simple regex benchmark of different programming languages.
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
elasticsearch-py - Official Python client for Elasticsearch
tape - Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
re.places - An in-cache, searchable database of 41,000 global cities. It’s designed as a light-weight polyfill for ‘cities’ in Algolia's places API, for when it sunsets in May 2022