Fendyfd
Re:Databricks is raising $10B Series J Investment at $62B Valuation
on Wednesday December 18, 2024 @04:14AM (#42449097)
thanks
Databricks is raising $10B Series J Investment at $62B Valuation
Matryoshka Embeddings
Re:Qdrant, the Vector Search Database, raised $28M in a Series A round
on Thursday January 25, 2024 @09:02AM (#39129631)
It is open-sourced, and you can find its source code on GitHub. The leaderboard is just something easy for readers to have a quick look at. You're welcome to use this tool to generate your results.
I won't argue with you about whether "vector database" should be a product category. You are not the first or even the last person who has doubts about it. Maybe many years later, we'll have the answer.
Re:Qdrant, the Vector Search Database, raised $28M in a Series A round
on Thursday January 25, 2024 @08:45AM (#39129490)
trying to answer your questions since you asked.
Re:Qdrant, the Vector Search Database, raised $28M in a Series A round
on Tuesday January 23, 2024 @10:01PM (#39113095)
FYI the VectorDBBench leaderboard: https://zilliz.com/vector-database-benchmark-tool?database=Z...
Re:Qdrant, the Vector Search Database, raised $28M in a Series A round
on Tuesday January 23, 2024 @09:58PM (#39113080)
Good question. 1. VectorDBBench is an open-source benchmark that is pretty vendor-neutral. If you've used it or checked its leaderboard, you'll find that almost every database is ranked first or in the top place on specific metrics.
2. The key to using a benchmark is not to find which vector database is the "best" but which one is most suitable for your use cases and applications. Actually, there is no "universally best" vector database for any situation. So I don't think anyone should be able to cheat on this.
Re:Qdrant, the Vector Search Database, raised $28M in a Series A round
on Tuesday January 23, 2024 @06:44AM (#39102145)
There are multiple vectordb available in the market, open source ones include Milvus, Qdrant, Weaviate etc. Cloud services include Zilliz Cloud (managed milvus), Qdrant Cloud, Weaviate Cloud etc. Try using a benchmark tool to evaluate them. Here is an open-source option for your reference: VectorDBBench (https://github.com/zilliztech/VectorDBBench)
Top Keywords about Milvus
Benchmarking VectorDB
How to Evaluate RAG Apps
Milvus Vector Database in 2023
Open Source Benchmarking Tool for Vector Databases
GPTCache, boost your LLM applications 100 times faster
Re:Yet Another Cache, but for ChatGPT
on Wednesday April 19, 2023 @11:43AM (#35629611)
With GPTCache, you can cache your LLM responses with just a few lines of code changes, boosting your LLM applications 100 times faster.