elastic-hyper
MeiliSearch
| elastic-hyper | MeiliSearch | |
|---|---|---|
| - | 129 | |
| 3 | 43,472 | |
| - | 1.6% | |
| 0.0 | 9.8 | |
| over 6 years ago | 3 days ago | |
| Rust | Rust | |
| Apache License 2.0 | 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.
elastic-hyper
We haven't tracked posts mentioning elastic-hyper yet.
Tracking mentions began in Dec 2020.
MeiliSearch
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Publish/Subscribe with Sidekiq
We needed to introduce a new service for search. As we settled on using meilisearch, we needed a way to sync updates on our models with the records in meilisearch. We could've continued to use callbacks but we needed something better.
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The Mechanics of Silicon Valley Pump and Dump Schemes
Meilisearch
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What is Hybrid Search?
In this case, a good strategy is to use vector search only when the keyword/prefix search returns none or just a small number of results. A good candidate for this is MeiliSearch. It uses custom ranking rules to provide results as fast as the user can type.
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Create a ChatBot with VertexAI and LibreChat
With the VertexAI endpoint set up and tested, our next step is to work with LibreChat. LibreChat is an open-source ChatGPT clone that can integrate with various AI models, including the PaLM 2 models via the VertexAI API. It's built using React, MongoDB, and Meilisearch technologies.
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Pg_bm25: Elastic-Quality Full Text Search Inside Postgres
Meilisearch seems like it is the best open source option.
https://www.meilisearch.com/
- Looking for an easy installable search engine for a shared hosting account? Any ideas?
- Meilisearch: Build an intuitive search experience in a snap
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Vector storage is coming to Meilisearch to empower search through AI
Starting with v1.3, you can use Meilisearch as a vector store. Meilisearch allows you to store vector embeddings alongside your documents conveniently. You will need to create the vector embeddings using your third-party tool of choice (Hugging Face, OpenAI). As we published the first v1.3 release candidate, you can try out vector search today.
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[N] Open-source search engine Meilisearch launches vector search
I work at Meilisearch, an open-source search engine built in Rust. 🦀
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Creating search engine for your local network - Is it even possible?
https://www.meilisearch.com/ https://github.com/meilisearch
What are some alternatives?
r2d2 - A generic connection pool for Rust
Typesense - Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
Rust Client for KairosDB - Rust client for KairosDB
zincsearch - ZincSearch . A lightweight alternative to elasticsearch that requires minimal resources, written in Go.
tikv - Distributed transactional key-value database, originally created to complement TiDB
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
PickleDB - PickleDB-rs is a lightweight and simple key-value store. It is a Rust version for Python's PickleDB
Searx - Privacy-respecting metasearch engine
Gibbs MySQL Spyglass - Gibbs MySQL Spyglass
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
rs-es - A Rust client for the ElasticSearch REST API
rust-postgres - Native PostgreSQL driver for the Rust programming language