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
Trust & integrity
| Signal | fastembed | redis |
|---|---|---|
| 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
- redis
- 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 (qdrant/fastembed) · observed Jul 11, 2026
- GitHub forks (qdrant/fastembed) · observed Jul 11, 2026
- Last push (qdrant/fastembed) · observed Jun 23, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (redis/redis) · observed Jul 11, 2026
- GitHub forks (redis/redis) · observed Jul 11, 2026
- Last push (redis/redis) · observed Jul 10, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.