Databunker
Milvus
Our great sponsors
Databunker | Milvus | |
---|---|---|
36 | 104 | |
1,208 | 26,857 | |
3.0% | 3.6% | |
5.7 | 10.0 | |
about 19 hours ago | about 3 hours ago | |
Go | Go | |
MIT License | 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.
Databunker
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GDPR compliance for hobby projects
https://databunker.org/ looks really interesting but I haven't found any Django or Python integrations as yet. Any thoughts?
- Practical GDPR Compliance Guide for Startup Founders
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Need your tips on SaaS product launch without a marketing budget
I also have an open-source product in this field: https://databunker.org/
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Need advice on open-source projects with the best documentation
PS. Here is my tool: https://databunker.org/
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Armon Dadgar (HashiCorp CTO) on startup motivation
This morning I was fortunate to listen to a podcast with Armon Dadgar . Armon is a #Hashicorp CTO and co-founder. I found inspiration in his words to what we do Privacybunker.IO. The matter is that we are also an open-source security vendor and we are building a standard tool for every company to store customer records and with the highest level of security and privacy compliance: https://databunker.org/.
So, according to Armon, the motivation for #Hashicorp was the following:
In a Pre #Oracle world, every company was building its own database.
Every company that manages any data had to build their own storage engine, their own query engine, their own everything.
This was a huge tax on the entire industry.
But once you have a set of vendors that provide standard SQL solutions, like Microsoft, Oracle, Sybase, etc... then you can build higher-level applications that consume the database.
For us (#Hashicorp), it felt like, where we are with our tools.
When we started, everyone was building their own platform, everyone was rolling its own approach to automation.
Shouldn't there be a set of vendors who sell that for you and you just operate it rather than building it?
Original podcast: https://lnkd.in/dh4R4xMe
About Databunker
- It took me 1 year to grow to 100 stars on GitHub
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Looking for secure storage for customer data? Look no further!
Hi, I am an open-source developer working on Databunker: https://github.com/securitybunker/databunker.
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Creating CRUD for customer data vs using open-source Databunker tool
More info: https://databunker.org/ https://github.com/securitybunker/databunker
Hi, I am an open-source developer working on Databunker. Today I got a question from one of the guys on a social network.
- Databunker - a secure enclave for customer data
Milvus
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Ask HN: Who is hiring? (April 2024)
Zilliz (zilliz.com) | Hybrid/ONSITE (SF, NYC) | Full-time
I am part of the hiring team for DevRel
NYC - https://boards.greenhouse.io/zilliz/jobs/4307910005
SF - https://boards.greenhouse.io/zilliz/jobs/4317590005
Zilliz is the company behind Milvus (https://github.com/milvus-io/milvus), the most starred vector database on GitHub. Milvus is a distributed vector database that shines in 1B+ vector use cases. Examples include autonomous driving, e-commerce, and drug discovery. (and, of course, RAG)
We are also hiring for other roles that I am not personally involved in the hiring process for such as product managers, software engineers, and recruiters.
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Unlock Advanced Search Capabilities with Milvus and Read about RAG
Get started with Milvus on GitHub.
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Milvus VS pgvecto.rs - a user suggested alternative
2 projects | 13 Mar 2024
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How to choose the right type of database
Milvus: An open-source vector database designed for AI and ML applications. It excels in handling large-scale vector similarity searches, making it suitable for recommendation systems, image and video retrieval, and natural language processing tasks.
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Simplifying the Milvus Selection Process
Selecting the right version of open-source Milvus is important to the success of any project leveraging vector search technology. With Milvus offering different versions of its vector database tailored to varying requirements, understanding the significance of selecting the correct version is key for achieving desired outcomes.
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7 Vector Databases Every Developer Should Know!
Milvus is an open-source vector database designed to handle large-scale similarity search and vector indexing. It supports multiple index types and offers highly efficient search capabilities, making it suitable for a wide range of AI and ML applications, including image and video recognition, natural language processing, and recommendation systems.
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Ask HN: Who is hiring? (February 2024)
Zilliz is hiring! We're looking for REMOTE and/or HYBRID roles in SF
Zilliz is the company behind Milvus (https://github.com/milvus-io/milvus), the most widely adopted vector database. Vector databases are a crucial piece of any technology stack looking to take advantage of unstructured data. Most recently and notably, Retrieval Augmented Generation (RAG). For RAG, vector databases like Milvus are used as the tool to inject customized data. In other words, vector databases make things like customized chat bots, personalized product recommendations, and more possible.
We are hiring for Developer Advocates, Senior+ Level Engineers and Product people, and Talent Acquisition. Check out all the roles here: https://zilliz.com/careers
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Qdrant, the Vector Search Database, raised $28M in a Series A round
Good on them, I know the crustaceans are out here happy about this raise for a Rust based Vector DB!
(now I'm gonna plug what I work on)
If you're interested in a more scalable vector database written in Go, check out Milvus (https://github.com/milvus-io/milvus)
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Open Source Advent Fun Wraps Up!
But before we do, I do want to say that 🤩 all these lovely Open-Source projects would love a little 🎉💕 love by getting a GitHub star ⭐ for their efforts. Including Open Source Milvus 🥰
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First 15 Open Source Advent projects
1. Milvus by Zilliz | Github
What are some alternatives?
migrate - Database migrations. CLI and Golang library.
pgvector - Open-source vector similarity search for Postgres
goleveldb - LevelDB key/value database in Go.
faiss - A library for efficient similarity search and clustering of dense vectors.
noms - The versioned, forkable, syncable database
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
mssql - Microsoft SQL server adapter for REL written in Golang.
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.
immudb - immudb - immutable database based on zero trust, SQL/Key-Value/Document model, tamperproof, data change history
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
rosedb - Lightweight, fast and reliable key/value storage engine based on Bitcask.
Face Recognition - The world's simplest facial recognition api for Python and the command line