ElasticPress
qdrant
ElasticPress | qdrant | |
---|---|---|
5 | 141 | |
1,225 | 17,943 | |
0.1% | 3.4% | |
9.8 | 9.9 | |
5 days ago | 6 days ago | |
PHP | Rust | |
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
qdrant
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Hindi-Language AI Chatbot for Enterprises Using Qdrant, MLFlow, and LangChain
Great. Now that we have the embeddings, we need to store them in a vector database. We will be using Qdrant for this purpose. Qdrant is an open-source vector database that allows you to store and query high-dimensional vectors. The easiest way to get started with the Qdrant database is using the docker.
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Boost Your Code's Efficiency: Introducing Semantic Cache with Qdrant
I took Qdrant for this project. The reason was that Qdrant stands for high-performance vector search, the best choice against use cases like finding similar function calls based on semantic similarity. Qdrant is not only powerful but also scalable to support a variety of advanced search features that are greatly useful to nuanced caching mechanisms like ours.
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Ask HN: Has Anyone Trained a personal LLM using their personal notes?
I'm currently looking to implement locally, using QDrant [1] for instance.
I'm just playing around, but it makes sense to have a runnable example for our users at work too :) [2].
[1]. https://qdrant.tech/
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Show HN: A fast HNSW implementation in Rust
Also compare with qdrant's Rust implementation; they tout their performance. https://github.com/qdrant/qdrant/tree/master/lib/segment/src...
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pgvecto.rs alternatives - qdrant and Weaviate
3 projects | 13 Mar 2024
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Open-source Rust-based RAG
There are much better known examples, such as https://qdrant.tech/ and https://github.com/lancedb/lancedb
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Qdrant 1.8.0 - Major Performance Enhancements
For more information, see our release notes. Qdrant is an open source project. We welcome your contributions; raise issues, or contribute via pull requests!
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Perform Image-Driven Reverse Image Search on E-Commerce Sites with ImageBind and Qdrant
Initialize the Qdrant Client with in-memory storage. The collection name will be “imagebind_data” and we will be using cosine distance.
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7 Vector Databases Every Developer Should Know!
Qdrant is an open-source vector search engine optimized for performance and flexibility. It supports both exact and approximate nearest neighbor search, providing a balance between accuracy and speed for various AI and ML applications.
- Ask HN: Who is hiring? (February 2024)
What are some alternatives?
sql - Query your data using familiar SQL or intuitive Piped Processing Language (PPL)
Milvus - A cloud-native vector database, storage for next generation AI applications
db-benchmarks - Fair database benchmarks framework and datasets
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.
charabia - Library used by Meilisearch to tokenize queries and documents
faiss - A library for efficient similarity search and clustering of dense vectors.
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
pgvector - Open-source vector similarity search for Postgres
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
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
WordPress-Importer - In-development rewrite of the WordPress (WXR) Importer
towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.