Coral
qdrant
Coral | qdrant | |
---|---|---|
10 | 142 | |
1,866 | 18,219 | |
0.2% | 4.8% | |
9.9 | 9.9 | |
4 days ago | 1 day ago | |
TypeScript | Rust | |
GNU General Public License v3.0 or later | 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.
Coral
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What Is a Vector Database
The Coral Project [0] (commenting platform used on Washington Post, New York Times, The Verge) uses an Apache 2.0 license [1]. Which doesn't seem to have prevented it from raking in big SaaS customers.
A lot of people worry about copy-cat services, but it's kind of rare that someone will be able to compete with you as the original in hosting your own service as well as you can. Especially when you consider support and maintenance requirements of a new product you aren't personally developing.
I could see copy-cat services being more of an issue in the late stage of a product though? When everyone knows lots about how to stand it up and use it?
[0] https://coralproject.net/
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What's the result of Knight-Mozilla Initiative: Challenge 2 – Beyond Comment Threads
The Coral Project was created inline with this initiative. They have lots of guides that provide some of the research that was conducted: https://coralproject.net/
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Commento - A Self Hosted Comment System for Websites
For comment system, I choose Coral Project Talk because it could use Akismet and Google Perspective API for reducing spam and harassment. I also need to think about the remove comments when user delete their account (GDPR stuff). Coral Talk has the above functions in the UI.
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Everything you need to know about Opensource Jamstack
Another great API that could be self-hosted is Coral. It’s a commenting platform where users can leave online comments. It’s received contributions from over 40 people on Github. It has a good-first-issue tag and also offers a contribution guide.
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Node.js 16 Available Now
Yup! We do a Typescript/Node.js/GraphQL back-end with React/Relay/Typescript on the front end.
https://github.com/coralproject/talk
It's pretty nice having the whole code base share types, syntax, structure, etc.
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Show HN: I'm working on a open-source, self-host alternative to Disqus
Coral is poorly advertised outside it's ecosystem, but should be considered. https://github.com/coralproject/talk
See https://docs.coralproject.net/coral/v5/integrating/cms/ to get an idea of it's use.
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I made a student publication @ university & discovered a deep hate for WordPress — so I made my dream publishing platform
Our highest tier comment system is quite powerful, and is based off Coral Talk by Vox. For beginners like yourself, if we allowed users to integrate Disqus on all tiers, would that alleviate your concerns with using Storipress?
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Caching data on Apollo server
If you need some inspiration, we added support for server caching of responses on Coral: https://github.com/coralproject/talk/blob/develop/src/core/server/app/middleware/graphql/apolloServer.ts#L85-L88
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Disqus, the Dark Commenting System
I've seen some examples in which people embed Discourse discussions.
There's also Coral (https://github.com/coralproject/talk) which used to be Mozilla + Vox project before Mozilla handed it over to Vox completely, but I have no experience with it.
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?
Discourse - A platform for community discussion. Free, open, simple.
Milvus - A cloud-native vector database, storage for next generation AI applications
phpBB - phpBB Development: phpBB is a popular open-source bulletin board written in PHP. This repository also contains the history of version 2.
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.
GNU social - GNU social is social communication software for both public and private communications.
faiss - A library for efficient similarity search and clustering of dense vectors.
Mastodon - Your self-hosted, globally interconnected microblogging community
pgvector - Open-source vector similarity search for Postgres
remark42 - comment engine
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
commento - A fast, bloat-free comments platform (Github mirror)
towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.