sonic
Typesense
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sonic | Typesense | |
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48 | 129 | |
19,317 | 17,425 | |
- | 4.1% | |
7.5 | 9.8 | |
3 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.
- 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
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An alternative to Elasticsearch that runs on a few MBs of RAM
- Sonic (https://github.com/valeriansaliou/sonic)
There isn't enough out there comparing all these for the simple typical fuzzy search/search box usecase -- which I think is 80% of people doing search today.
Like other people are pointing out, most of these engines won't have all the features of ES (or more accurately Lucene) but I am pretty convinced that most of the time it doesn't actually matter and if someone is searching on your site excessively maybe there's a problem with your UX (unless you're a search engine or repository of information).
[0]: https://supabase.com/blog/postgres-full-text-search-vs-the-r...
Typesense
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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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[Guide] A Tour Through the Python Framework Galaxy: Discovering the Stars
Try tigris | typesense for faster search
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Is it worth using Postgres' builtin full-text search or should I go straight to Elastic?
Iām also checking out Typesense as a possibility for replacing Elastic: https://typesense.org/
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Is elasticsearch for me? Currently using Full text search
Elasticsearch is heavy to run and manage. Take a look at Meilisearch and Typesense
- Awesome Self-hosted Search
What are some alternatives?
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
Apache Solr - Apache Lucene and Solr open-source search software
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
meilisearch-laravel-scout - MeiliSearch integration for Laravel Scout
loki - Like Prometheus, but for logs.
vespa - AI + Data, online. https://vespa.ai
manticoresearch - Easy to use open source fast database for search | Good alternative to Elasticsearch now | Drop-in replacement for E in the ELK soon
vector_engine - Build a semantic search engine with Transformers and Faiss
tantivy - Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
Yacy - Distributed Peer-to-Peer Web Search Engine and Intranet Search Appliance