whoosh
MeiliSearch
whoosh | MeiliSearch | |
---|---|---|
5 | 129 | |
534 | 43,472 | |
- | 1.6% | |
0.0 | 9.8 | |
4 months ago | 8 days ago | |
Python | Rust | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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whoosh
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Milli-py: Python bindings for Milli, an embeddable high-performance search engine
The only other embeddable search engine I'm aware off, Whoosh, is brilliant but building the index was quite slow, and search performance degraded quite a lot as number of documents increase (performance is strictly a non-goal). Meilisearch was comparatively faster, I didn't like managing a server to get "just search" in my scripts and applications. However, their underlying engine Milli solves both issues I had, and all that was needed creating bindings for it.
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Meilisearch v1.0 – the open-source Rust alternative to Algolia and Elasticsearch
Is it really "just a single statically linked binary"?
I'd love to use Meilisearch as you describe, but their so-called SDKs are just about for the search client, you still need the HTTP server listening on localhost.
I would love to see something like SQLite based off Meilisearch (i.e. a fully selfcontained library like https://github.com/mchaput/whoosh). Do you know if such a thing exists?
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Faster Full Text Search
For our full text search, we used whoosh, which works pretty well for moderately big amount of data.
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We upgraded an old, 3PB large, Elasticsearch cluster without downtime
Nearly a decade ago (oh god) I converted some overdesigned five node ES mess to https://github.com/mchaput/whoosh. It's (obviously) not the fastest or anything, but it was more than good enough for low-dozens of GBs of mostly static data.
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Starting a KF Discord Bot
Your best bet is to start using a proper search library rather than the simple loop with 'in' checks that you have now. A search lib will handle things like Unicode/ASCII similarities, removal of stop words, stemming, TF-IDF (and other) weighting, etc. and will be massively faster as well. Quite a few pages come up if you Google "python search engine", also Whoosh looks promising.
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?
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
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
Search Engine Parser - Lightweight package to query popular search engines and scrape for result titles, links and descriptions
zincsearch - ZincSearch . A lightweight alternative to elasticsearch that requires minimal resources, written in Go.
pysolr - Pysolr — Python Solr client
elasticsearch-dsl-py - High level Python client for Elasticsearch
Searx - Privacy-respecting metasearch engine
query-builder - sql query builder library for crystal-lang
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
query.cr - Query abstraction for Crystal Language. Used by active_record.cr library.
rust-postgres - Native PostgreSQL driver for the Rust programming language