atproto
qdrant
atproto | qdrant | |
---|---|---|
23 | 141 | |
5,714 | 18,036 | |
1.6% | 3.9% | |
9.7 | 9.9 | |
4 days ago | 7 days 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.
atproto
- Building Bluesky: A Distributed Social Network
- Bluesky announces data federation for self hosters
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Why isn't Bluesky a peer-to-peer network?
> I was unable to find any technological content on the site
Have a look at
> https://atproto.com/
> https://github.com/bluesky-social/atproto
- Bluesky makes web view public, login no longer required to read posts
- BlueSky expecting to launch the public web interface on Monday, December 18
- Bluesky migrates from pg to single-tenant SQLite
- Bluesky Reserved Names
- Bluesky now checks against this array of slurs when creating a username
- He is Unhinged. That new app can't come quick enough...
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Building Bluesky bots with GitHub Actions
I wanted to make it easy to create fun bots that use APIs or other data to post to Bluesky. This was an opportunity for me to learn how to schedule things with GitHub Actions and use the Bluesky API. I wrote up a full description of how to build with Bluesky and GitHub Actions here
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?
wordpress-activitypub - ActivityPub for WordPress
Milvus - A cloud-native vector database, storage for next generation AI applications
rss-to-activitypub - An RSS to ActivityPub converter.
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.
serratus - Ultra-deep search for novel viruses
faiss - A library for efficient similarity search and clustering of dense vectors.
instances - Mastodon instances list
pgvector - Open-source vector similarity search for Postgres
agregore-browser - A minimal browser for the distributed web (Desktop version)
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
posidonius - N-Body simulator for planetary and/or binary systems
towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.