sonic
Typesense
sonic | Typesense | |
---|---|---|
48 | 131 | |
19,528 | 18,345 | |
- | 2.1% | |
7.0 | 9.8 | |
2 months ago | 5 days ago | |
Rust | C++ | |
Mozilla Public License 2.0 | 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.
sonic
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What is Hybrid Search?
Sonic - a project written in Rust, uses custom network communication protocol for fast communication between the client and the server.
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ArchiveBox: Open-source self-hosted web archiving
This is uncanny, I just discovered ArchiveBox earlier today and set up a self-hosted instance on some home hardware for a collection of bookmarks of useful guides, tutorials, and references I've collected over the years.
Setting it up on K8s with sonic [1] as the search backend and importing a few hundred URLs only took ~an hour or so, and the cached pages look great for the most part.
[1] https://github.com/valeriansaliou/sonic
- sonic: Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
- Seeking a free full text search solution for large data with progress display
- Show HN: CozoDB, Hybrid Relational-Graph-Vector DB, the Hippocampus for LLMs
- FLiP Stack Weekly for 15-Jan-2023
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Building an Internet Scale Meme Search Engine
If you don't need advanced search features, you can use Sonic (https://github.com/valeriansaliou/sonic). It's blazing fast and you can save lot of money on servers.
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Any Full Text Search library for json data?
What about Sonic? Maybe it requires a bit of integration, but it's simple and blazing fast.
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10 Trending Github repositories / October, 27 2022
git clone https://github.com/valeriansaliou/sonic.git
- Sonic, An alternative to Elasticsearch that runs on a few MBs of RAM
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?
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
tantivy - Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
Apache Solr - Apache Lucene and Solr open-source search software
tantivy - Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust [Moved to: https://github.com/quickwit-oss/tantivy]
meilisearch-laravel-scout - MeiliSearch integration for Laravel Scout
graylog - Free and open log management
loki - Like Prometheus, but for logs.
zincsearch - ZincSearch . A lightweight alternative to elasticsearch that requires minimal resources, written in Go.
vespa - AI + Data, online. https://vespa.ai