manticoresearch
Typesense
manticoresearch | Typesense | |
---|---|---|
33 | 131 | |
8,350 | 17,965 | |
1.6% | 2.7% | |
9.9 | 9.8 | |
about 23 hours ago | 8 days ago | |
C++ | C++ | |
GNU General Public License v3.0 only | 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.
manticoresearch
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Building and testing Manticore Search
Note, you need to do it in the root folder of a clone from https://github.com/manticoresoftware/manticoresearch
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OpenObserve: Open source Elasticsearch alternative in Rust for logs. 140x lower storage cost
Interesting, how does it compare to Mantico search?
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Creating an Abstraction around Search Engines (First Release)
Where Manticore Search? https://manticoresearch.com/
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Using ChatGPT Plugins with LLaMA
It's not open source since 2017. The open source fork is https://github.com/manticoresoftware/manticoresearch
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I am having trouble finding open source projects that fit my skillset
I haven't looked at the code, but I've seen https://github.com/manticoresoftware/manticoresearch popping up in a few places. Might be worth looking at. It would be great to have a faster drop-in replacement for Elasticsearch that's not written in Java. They blogged about it here: https://manticoresearch.com/blog/manticore-alternative-to-elasticsearch/
- What is the easiest way to make searchable, sortable, multi-criteria database frontpage?
- Making a Homegrown ClickHouse Log for $20/mo
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Manticore 6.0.0 β a faster alternative to Elasticsearch in C++
I don't see anywhere where they claim that it's faster simply because it's written in C++. They do mention that they make use of C++ to add low level optimizations that make queries faster and the memory imprint smaller, but any claims about performance in the readme are linked to benchmarks to back up their claims
https://github.com/manticoresoftware/manticoresearch/
https://db-benchmarks.com/test-taxi/#manticore-search-vs-ela...
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Manticore Search 6
contributors
- I created Atomic: Self Hosted Open Source Alternative to Reclaim, Clockwise & Motion
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 Β· 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 havenβt used Publish, but Iβd 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?
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
quickwit - Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.
Apache Solr - Apache Lucene and Solr open-source search software
columnar - Manticore Columnar Library
meilisearch-laravel-scout - MeiliSearch integration for Laravel Scout
manticoresearch-php - Official PHP client for Manticore Search
loki - Like Prometheus, but for logs.
openobserve - π 10x easier, π 140x lower storage cost, π high performance, π petabyte scale - Elasticsearch/Splunk/Datadog alternative for π (logs, metrics, traces, RUM, Error tracking, Session replay).
sonic - π¦ Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.