Repositories
12
Net stars gained, last 7 days
+671
Top-level Tag
Net stars gained each day, last 90 days
Peak days
- 1
Aug 18, 2026 +737 net stars (median day +111)
- RyanCodrai/turbovec+624 (85%)
- qdrant/qdrant+22 (3%)
- StarTrail-org/LEANN+21 (3%)
- 2
Aug 19, 2026 +345 net stars (median day +111)
- RyanCodrai/turbovec+246 (71%)
- qdrant/qdrant+20 (6%)
- milvus-io/milvus+19 (6%)
- 3
Aug 20, 2026 +460 net stars (median day +111)
- RyanCodrai/turbovec+331 (72%)
- qdrant/qdrant+29 (6%)
- alibaba/zvec+23 (5%)
- 4
Oct 26, 2026 +357 net stars (median day +111)
- StarTrail-org/LEANN+207 (58%)
- kividbio/kividb+64 (18%)
Created on Oct 15, 2026
- qdrant/qdrant+18 (5%)
- 5
Oct 27, 2026 +325 net stars (median day +111)
- StarTrail-org/LEANN+190 (58%)
- kividbio/kividb+62 (19%)
Created on Oct 15, 2026
- milvus-io/milvus+18 (6%)
Published v2.6.26 and v3.0.4 on Oct 26, 2026
A peak day has at least 2 times the net stars of the median day of this chart, and at least 100 more. For each peak day, the list shows the repositories that gained the most net stars that day. It also shows their GitHub releases of that day or the day before (UTC), and their creation date when it was 14 days or less before. These events occur near the same day. They do not show why the stars came.
Largest
Most stars in total now.
description:
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
description:
A library for efficient similarity search and clustering of dense vectors.
readme:
Qdrant** (read: _quadrant_) is a vector similarity search engine and vector database.
readme:
Our hosted service, Chroma Cloud, powers serverless vector, hybrid, and full-text search.
readme:
**Vector Search:** Index embeddings from your machine learning models in Typesense and do a nearest-neighbor search.
readme:
By default, pgvector performs exact nearest neighbor search, which provides perfect recall.
readme:
turbovec is an in-process vector index for Python and Rust.
readme:
a cloud-native vector database that stores both objects and vectors, enabling semantic search at scale.
- alibaba/zvec16K
readme:
it delivers production-grade, low-latency and scalable similarity search with minimal setup.
description:
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Newest Admissions
Entered the index by the rising rule, newest first.
readme:
Redis Stack–style `FT.*` commands for full-text, tag, numeric and vector (FLAT / HNSW) search
How a repository gets this Tag
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