7 Years, 2 Rebuilds, 40k+ Stars: Milvus Recap and Roadmap
Posted24 days agoActive18 days ago
milvus.ioTech Discussionstory
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MilvusGithubVector Database
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Milvus
Github
Vector Database
Discussion Activity
Active discussionFirst comment
6d
Peak period
12
132-144h
Avg / period
12
Key moments
- 01Story posted
Dec 10, 2025 at 2:03 PM EST
24 days ago
Step 01 - 02First comment
Dec 16, 2025 at 2:59 AM EST
6d after posting
Step 02 - 03Peak activity
12 comments in 132-144h
Hottest window of the conversation
Step 03 - 04Latest activity
Dec 16, 2025 at 10:17 AM EST
18 days ago
Step 04
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Analyzing up to 500 comments to identify key contributors and discussion patterns
ID: 46222002Type: storyLast synced: 12/16/2025, 2:00:24 PM
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Does this still hold?
(I'm from Milvus so i could be biased.)
Interesting, I guess we're on the same page ;)
We dropped milvus after they started trying for force their zilliz garbage saas down our throats.
Then, what if you want hybrid search, or different IVF variants, or disk-based search, or horizontal scaling, or something that leverages SIMD, or sparse vectors? Milvus is great.
Shameless plug: https://github.com/jankovicsandras/plpgsql_bm25 BM25 search implemented in PL/pgSQL ( Unlicense / Public domain )
The repo includes plpgsql_bm25rrf.sql : PL/pgSQL function for hybrid search ( plpgsql_bm25 + pgvector ) with Reciprocal Rank Fusion; and Jupyter notebook examples.
Like others have already said, pgvector is used a lot as well