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Fendyfd

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Milvus 2.5: full-text search and semantic search

milvus.io
2 points·by Fendyfd·2 lata temu·0 comments

Databricks is raising $10B Series J Investment at $62B Valuation

databricks.com
1 points·by Fendyfd·2 lata temu·2 comments

Matryoshka Embeddings

milvus.io
1 points·by Fendyfd·2 lata temu·0 comments

[untitled]

1 points·by Fendyfd·2 lata temu·0 comments

Top Keywords about Milvus

milvus.io
2 points·by Fendyfd·2 lata temu·0 comments

Benchmarking VectorDB

zilliz.com
1 points·by Fendyfd·2 lata temu·0 comments

How to Evaluate RAG Apps

zilliz.com
1 points·by Fendyfd·2 lata temu·0 comments

[untitled]

1 points·by Fendyfd·3 lata temu·0 comments

Milvus Vector Database in 2023

milvus.io
7 points·by Fendyfd·3 lata temu·0 comments

Open Source Benchmarking Tool for Vector Databases

zilliz.com
1 points·by Fendyfd·3 lata temu·0 comments

[untitled]

1 points·by Fendyfd·3 lata temu·0 comments

Yet Another Cache, but for ChatGPT

zilliz.com
1 points·by Fendyfd·3 lata temu·1 comments

comments

Fendyfd
·2 lata temu·discuss
thanks
Fendyfd
·2 lata temu·discuss
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.
Fendyfd
·2 lata temu·discuss
trying to answer your questions since you asked.
Fendyfd
·2 lata temu·discuss
FYI the VectorDBBench leaderboard: https://zilliz.com/vector-database-benchmark-tool?database=Z...
Fendyfd
·2 lata temu·discuss
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.
Fendyfd
·2 lata temu·discuss
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)
Fendyfd
·3 lata temu·discuss
[dead]
Fendyfd
·3 lata temu·discuss
With GPTCache, you can cache your LLM responses with just a few lines of code changes, boosting your LLM applications 100 times faster.