Home/Compare/fastembed vs redis

Comparison

fastembed vs redis

Verdict

Pick fastembed when fastembed is primarily Python; redis is C; pick redis when redis is primarily C; fastembed is Python.

Markdown twin · fastembed alternatives · redis alternatives

GraphCanon updated today

fastembed logo

fastembed

qdrant/fastembed

3.1kpushed Jun 23, 2026
vs
redis logo

redis

redis/redis

75kpushed Jul 10, 2026

Trust & integrity

Signalfastembedredis
Maintenance
Active (18d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

fastembed
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
redis
Redis is a preferred cache, data structure server, and document & vector query engine for real-time applications.

Stars

fastembed
3.1k
redis
75k

Forks

fastembed
213
redis
25k

Open issues

fastembed
137
redis
2.9k

Language

fastembed
Python
redis
C

Adopt for

fastembed
-
redis
Redis is an in-memory database designed as a versatile cache and data structure store with advanced features such as JSON operations and vector searches, making it suitable for real-time applications.

Persona

fastembed
-
redis
-

Runtime

fastembed
-
redis
-

License

fastembed
Apache-2.0
redis
Other

Last pushed

fastembed
Jun 23, 2026
redis
Jul 10, 2026

Categories

fastembed
LLM Frameworks, Data & Retrieval, Vector Databases
redis
Data & Retrieval, Vector Databases

Trust and health

Maintenance

fastembed
Active (82%)
redis
Very active (96%)

Days since push

fastembed
18d
redis
0d

Open issues (now)

fastembed
137
redis
2.9k

Full report

fastembed
Trust report

Choose fastembed if…

  • fastembed is primarily Python; redis is C.
  • License: fastembed is Apache-2.0, redis is Other.
  • Tags unique to fastembed: embeddings, python, rag, retrieval-augmented generation.
  • Also covers LLM Frameworks.

When NOT to use fastembed

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

Choose redis if…

  • redis is primarily C; fastembed is Python.
  • License: redis is Other, fastembed is Apache-2.0.
  • Tags unique to redis: cache, json, nosql, in-memory.
  • You need high-speed access to frequently used data due to Redis's in-memory nature.

When NOT to use redis

  • Your project has limited memory resources since Redis relies on in-memory storage, which could lead to high costs or operational challenges with large datasets.
  • You prioritize persistence over speed; while Redis offers persistence options, its primary design is for real-time access and not robust disk-based backup solutions like traditional SQL databases.
  • Your application workload does not benefit from the fast read/write capabilities and rich data structure support offered by Redis, possibly implying that a less specialized database would suffice.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: fastembed 3.1k · redis 75k (synced Jul 11, 2026).

Common questions

What is the difference between fastembed and redis?
fastembed: Fast, Accurate, Lightweight Python library to make State of the Art Embedding. redis: Redis is a preferred cache, data structure server, and document & vector query engine for real-time applications.. See the comparison table for live GitHub stats and shared categories.
When should I choose fastembed over redis?
Choose fastembed over redis when fastembed is primarily Python; redis is C; License: fastembed is Apache-2.0, redis is Other; Tags unique to fastembed: embeddings, python, rag, retrieval-augmented generation; Also covers LLM Frameworks.
When should I choose redis over fastembed?
Choose redis over fastembed when redis is primarily C; fastembed is Python; License: redis is Other, fastembed is Apache-2.0; Tags unique to redis: cache, json, nosql, in-memory; You need high-speed access to frequently used data due to Redis's in-memory nature.
When should I avoid fastembed?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
When should I avoid redis?
Your project has limited memory resources since Redis relies on in-memory storage, which could lead to high costs or operational challenges with large datasets. You prioritize persistence over speed; while Redis offers persistence options, its primary design is for real-time access and not robust disk-based backup solutions like traditional SQL databases. Your application workload does not benefit from the fast read/write capabilities and rich data structure support offered by Redis, possibly implying that a less specialized database would suffice.
Is fastembed or redis more popular on GitHub?
redis has more GitHub stars (75,394 vs 3,085). Stars measure visibility, not whether either tool fits your constraints.
Are fastembed and redis open source?
Yes - both are open-source projects on GitHub (fastembed: Apache-2.0, redis: Other).
Where can I find alternatives to fastembed or redis?
GraphCanon lists graph-backed alternatives at fastembed alternatives and redis alternatives (fastembed markdown twin, redis markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, fastembed or redis?
fastembed: Active. redis: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for fastembed and redis?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: fastembed trust report; redis trust report.