ElasticPress
vespa
| ElasticPress | vespa | |
|---|---|---|
| 5 | 4 | |
| 1,225 | 5,349 | |
| 0.1% | 1.1% | |
| 9.8 | 10.0 | |
| 5 days ago | 6 days ago | |
| PHP | Java | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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.
ElasticPress
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How can I improve the search function of WordPress?
https://github.com/10up/ElasticPress you may be able to rip it out. Idk I’ve never attempted.
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WordPress Health Status and the new Report Parser Tool
The idea to create the tool came after we added the new Status Report page to ElasticPress 4.4.0. There we aggregate answers for lots of common support questions, like the last failed Elasticsearch queries.
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E2E testing with github actions
For the moment I am referencing elasticpress which seems straightforward enough using wp-env, docker/docker-compose and cypress.
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Deprecated code in Open Source (with WordPress functions)
Usually, changelogs are divided into sections, separating what was added, changed, fixed, removed, and deprecated. An example of this division can be seen in both ElasticPress's release notes and its changelog.
- ZincSearch – lightweight alternative to Elasticsearch written in Go
vespa
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Top 10 Best Vector Databases & Libraries
Vespa(4.3k ⭐) → A fully featured search engine and vector database. It supports vector search (ANN), lexical search, and search in structured data, all in the same query. Integrated machine-learned model inference allows you to apply AI to make sense of your data in real time.
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Vector database built for scalable similarity search
If ES doesn't work for you, I recommend Vespa. https://github.com/vespa-engine/vespa
Others have made other suggestions, but Vespa has two unique features. First it is battle tested at a large scale, second it supports combining the keyword and vector scores in several ways. The latter is something that other hybrid systems don't do very well in my experience including ES/Solr.
- ZincSearch – lightweight alternative to Elasticsearch written in Go
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MeiliSearch: A Minimalist Full-Text Search Engine
After looking at various alternatives, I'm thinking of trying out https://vespa.ai/ [0]
[0] https://github.com/vespa-engine/vespa
What are some alternatives?
sql - Query your data using familiar SQL or intuitive Piped Processing Language (PPL)
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
db-benchmarks - Fair database benchmarks framework and datasets
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
charabia - Library used by Meilisearch to tokenize queries and documents
pgvector - Open-source vector similarity search for Postgres
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
Infinispan - Infinispan is an open source data grid platform and highly scalable NoSQL cloud data store.
milvus-lite - A lightweight version of Milvus wrapped with Python.
WordPress-Importer - In-development rewrite of the WordPress (WXR) Importer
milli - Search engine library for Meilisearch ⚡️