orama
Typesense
orama | Typesense | |
---|---|---|
12 | 131 | |
8,095 | 17,965 | |
3.3% | 2.7% | |
9.4 | 9.8 | |
2 days ago | 9 days ago | |
TypeScript | C++ | |
GNU General Public License v3.0 or later | 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.
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
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?
flexsearch - Next-Generation full text search library for Browser and Node.js
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
Lyra - A simple to use, composable, command line parser for C++ 11 and beyond
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
minisearch - Tiny and powerful JavaScript full-text search engine for browser and Node
Apache Solr - Apache Lucene and Solr open-source search software
regex-benchmark - It's just a simple regex benchmark of different programming languages.
meilisearch-laravel-scout - MeiliSearch integration for Laravel Scout
elasticsearch-py - Official Python client for Elasticsearch
loki - Like Prometheus, but for logs.
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
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.