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[BEST_IN_NICHE // VECTOR DBS]

Best Vector DBs in May 2026

If you need a Vector DBs tool right now, our caveat-laden pick is redis/redis (velocity score 4.3/10). Score 4.3/10 — momentum has cooled. Look elsewhere unless you've already integrated. Other tools worth a look: rapidsai/cuvs, peremartra/Large-Language-Model-Notebooks-Course, rapidsai/raft. Rankings update daily — see the full top 10 below.

Top 3 picks
[RANK · #01]
MariaDB/server
stablescore 2.4/10+26 stars/7d
[RANK · #02]
rapidsai/cuvs
stablescore 1.1/10+4 stars/7d
[RANK · #03]
peremartra/Large-Language-Model-Notebooks-Course
stablescore 0.6/10+4 stars/7d
Top 10 ranked
Tool
Velocity
Trend 30d
Δ 7d
Stars
Class
  • MariaDB/serverMariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry.
    2.38↑ +267.6kStable
  • rapidsai/cuvscuVS - a library for vector search and clustering on the GPU
    1.12↑ +4752Stable
  • peremartra/Large-Language-Model-Notebooks-CoursePractical course about Large Language Models.
    0.56↑ +41.8kStable
  • rapidsai/raftRAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
    0.45↑ +11.0kStable
Frequently asked

What's the best Vector DBs right now?

redis/redis. Beam ranks Vector DBs tools at 4.3/10 velocity. Score 4.3/10 — momentum has cooled. Look elsewhere unless you've already integrated.

What other Vector DBs tools should I consider?

Beyond MariaDB/server, the next four highest-velocity Vector DBs tools beam tracks are rapidsai/cuvs, peremartra/Large-Language-Model-Notebooks-Course, rapidsai/raft. Open any tool's profile for the full signal breakdown.

How does beam rank Vector DBs tools?

Beam fuses five orthogonal signals into a single velocity score: code activity, package adoption, research citation, sentiment, and production signals. The score multiplies across signals, so any one signal collapsing pulls the whole score down — that's how beam catches stars-up-commits-down decay. Full methodology at /about/methodology.

Is redis/redis actively maintained?

See the live status check at /tools/1842/status for the direct-answer verdict, last-commit timestamp, and 90-day velocity chart. Beam refreshes daily.

Full Vector DBs feed Methodology All niche picks
Best in other niches
AgentsMCPRAGCoding AssistantsInference & ServingMulti-AgentLocal LLMsFine-TuningOn-Device & EdgeWorkflow & No-CodeObservability & LLMOpsChat UIVoice & SpeechEval & BenchmarkSecurity & Red-TeamImage GenerationBrowsing & ScrapingFrameworks & SDKsOther
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