Nuclia DB
Toshi
| Nuclia DB | Toshi | |
|---|---|---|
| 3 | 12 | |
| 571 | 4,117 | |
| 2.1% | 0.4% | |
| 9.9 | 6.1 | |
| 3 days ago | 3 months ago | |
| Rust | Rust | |
| AGPL V3 | MIT License |
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.
Nuclia DB
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Tantivy 0.20 is released: Schemaless column store, Schemaless aggregations, Phrase prefix queries, Percentiles, and more...
You have also NucliaDB that is built on top of tantivy and addresses vector search for documents and video search.
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Alternatives to Pinecone? (Vector databases) [D]
NucliaDB https://github.com/nuclia/nucliadb
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qdrant VS nucliadb - a user suggested alternative
2 projects | 18 Jul 2022
Toshi
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Tantivy 0.20 is released: Schemaless column store, Schemaless aggregations, Phrase prefix queries, Percentiles, and more...
I don't think you have an active project that addresses all those use cases. There was an attempt in Rust with Toshi that is built on top of tantivy, but the project seems to have stalled.
- An alternative to Elasticsearch that runs on a few MBs of RAM
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Postgres Full Text Search vs. the Rest
I wish we had an extension like ZomboDB but using a lighter search engine like https://github.com/quickwit-oss/quickwit, https://github.com/toshi-search/Toshi and https://github.com/mosuka/bayard
Here I'm listing engines based on https://github.com/quickwit-oss/tantivy - tantivy is comparable to Lucene in its scope - but I'm sure there are other engines that could tackle ElasticSearch.
Another thing that could happen is maybe directly embed tantivy in Postgres using an extension, perhaps this could be an option too.
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Ask HN: Does anybody still use bookmarking services?
I do something similar, though I index the page myself via a little browser extension I wrote. I click a button, the content gets POSTed to a server that throws it in Toshi[1]. I hacked it together on a Saturday, and it's been pretty handy; as you describe, much more useful than any bookmarking approach I've tried before.
[1] https://github.com/toshi-search/Toshi
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*set Edge as default browser*
There is some incredible work being done in the web department, frameworks like rocket.rs and actix.rs are amazing. To get the latest info on web development in Rust, check arewewebyet.org. It doesn't list Toshi though, which is weird.
- Zinc Search engine. A lightweight alternative to elasticsearch that requires minimal resources, written in Go.
- Zinc Search engine. A lightweight alternative to Elasticsearch written in Go
- AWS releases forked Elasticsearch code. Announces new name: OpenSearc
What are some alternatives?
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
elasticsearch-rs - Official Elasticsearch Rust Client
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
narg - A tool to generate LC/AP formulas for a given seed in Noita.
ByteDetective - The easiest way to search for images on your desktop 🔎
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
lnx - ⚡ Insanely fast, 🌟 Feature-rich searching. lnx is the adaptable, typo tollerant deployment of the tantivy search engine.
Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
OpenSearch - 🔎 Open source distributed and RESTful search engine.