andre-z

13 ms·

91.
by andre-z 4y ago
Here is a video on how it can be used with a vector search database like Qdrant to retrieve real-time data. https://youtu.be/fQUGuHEYeog HowTo: https://qdrant.tech/articles/chatgpt-plugin/ Discla
92.
by andre-z 4y ago
Congrats on the launch! And thanks for using Qdrant ;)
93.
by andre-z 4y ago
Well, it is the most reliable IT magazine in Germany.
94.
GPT-4 is coming next week – and it will be multimodal, says Microsoft Germany(heise.de)
15 points by andre-z 4y ago|2 comments
95.
Get Sponsored by Google to Write Rust Code and Contribute to Open-Source(old.reddit.com)
2 points by andre-z 4y ago|0 comments
96.
by andre-z 4y ago
Qdrant | Berlin/Remote | Full-time | https://qdrant.tech Open source Vector Search Database developed in Rust with managed Cloud offering. Positions: - Cloud Backend Engineer - Cloud DevOps Engineer - JavaScript/Types
97.
by andre-z 4y ago
Shit happens. The good thing is there are already some alternatives. For example, Qdrant https://qdrant.tech Disclaimer; I'm affiliated and opinionated.
98.
Google Summer of Code GSoC 2023 Organizations Announced(summerofcode.withgoogle.com)
2 points by andre-z 4y ago|0 comments
99.
by andre-z 4y ago
Why did you decide to use a closed-source vector database if you do open-source? There are plenty of open-source solutions to choose from: Weaviate, Milvus, or Qdrant. https://github.com/qdrant/qdrant Disclaimer: I&#x
100.
by andre-z 4y ago
Pinecone - not open source. We have both OS and managed cloud https://cloud.qdrant.io Weaviate is awesome product but they have a slightly different approach. Also, you can check open source benchmarks https://qdran
101.
by andre-z 4y ago
Qdrant, worth checking if you are looking for open-source alternative to Pinecone. (I‘m affiliated ) https://github.com/qdrant/qdrant
102.
by andre-z 4y ago
Qdrant | Software Engineers (Rust), DevRel's, DevOps, VP Growth | Berlin, Germany / Remote | Full-time | https://angel.co/company/qdrant Qdrant ( https://qdrant.tech ) is an open-source vector searc
103.
by andre-z 4y ago
Awesome! Let us (Qdrant) know if you need any support.
104.
by andre-z 4y ago
It is called Cloud Engineer
105.
by andre-z 4y ago
Qdrant | Software Engineers (Rust), DevRel's, DevOps, VP Marketing | Berlin, Germany / Remote | Full-time | https://angel.co/company/qdrant Qdrant ( https://qdrant.tech ) is an open-source vector si
106.
by andre-z 4y ago
Hm, a search across all videos or at least a series of videos could be a valuable feature.
107.
SEO is dead long live LLMO(jina.ai)
3 points by andre-z 4y ago|5 comments
108.
by andre-z 4y ago
With ChatGPT replacing Google search, traditional SEO is dead: how can businesses ensure their information appears in ChatGPT's single answer? The solution is in-context learning on LLMs.
109.
by andre-z 4y ago
Agree, should mention that I'm affiliated.
110.
by andre-z 4y ago
Got it. However, depends on the number of videos in the end, right? :)
111.
by andre-z 4y ago
Nowadays, there are more convenient tools for building a search engine. For example, Rust. :) https://github.com/qdrant/qdrant
112.
by andre-z 4y ago
You can also do so using an open-source vector database like Qdrant https://github.com/qdrant/qdrant
113.
by andre-z 4y ago
FAISS is depreciating since it is just a library that does not scale and lacks a lot of vector db functionalities like filtering. ES is often used just by default because Devs have experience with but the performance is very low compared to
114.
by andre-z 4y ago
ES and OS are desperately slow because based on the lucene vector search index. A dedicated vector database like Qdrant will be always a better choice https://github.com/qdrant/qdrant
115.
by andre-z 4y ago
Pinecone is not open-source but a cloud solution only. Qdrant offers both: an open-source solution to run locally or to deploy in your own environment, and also a managed cloud platform.
116.
by andre-z 4y ago
Yes, there are more suitable solutions than faiss or annoay. For example https://github.com/qdrant/qdrant
117.
by andre-z 4y ago
I think the "value" is explained just below: "Make the most of your Unstructured Data Qdrant is a vector similarity engine. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdra
118.
by andre-z 4y ago
There are benchmarks. However it does not really make sense to compare with a library https://qdrant.tech/benchmarks/#why-you-are-not-comparing-wi...
119.
by andre-z 4y ago
Great work! Instead of faiss, you could use a standalone vector search engine like Qdrant https://github.com/qdrant/qdrant It would bring some advantages like, for example, filtering support.
120.
by andre-z 4y ago
Qdrant is a vector search engine written entirely in Rust https://github.com/qdrant/qdrant

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