--- title: "fastembed-rs vs redis" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/anush008-fastembed-rs-vs-redis-redis" tools: ["anush008-fastembed-rs", "redis-redis"] --- # fastembed-rs vs redis *GraphCanon updated Jul 12, 2026* ## Verdict Pick fastembed-rs when fastembed-rs is primarily Rust; redis is C; pick redis when redis is primarily C; fastembed-rs is Rust. [fastembed-rs](https://docs.rs/fastembed) reports 958 GitHub stars, 133 forks, and 2 open issues, last pushed Jun 30, 2026. [redis](http://redis.io) has 75k stars, 25k forks, and 2.9k open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [fastembed-rs's repository](https://github.com/Anush008/fastembed-rs) and [redis's repository](https://github.com/redis/redis). | | [fastembed-rs](/tools/anush008-fastembed-rs.md) | [redis](/tools/redis-redis.md) | | --- | --- | --- | | Tagline | Rust library for generating vector embeddings, reranking locally! | Redis is a preferred cache, data structure server, and document & vector query engine for real-time applications. | | Stars | 958 | 75,394 | | Forks | 133 | 24,718 | | Open issues | 2 | 2,867 | | Language | Rust | C | | Adopt for | - | 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 | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Data & Retrieval, LLM Frameworks, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [fastembed-rs](/tools/anush008-fastembed-rs.md) | [redis](/tools/redis-redis.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 10d | 0d | | Open issues (now) | 2 | 2.9k | | Owner type | User | Organization | | Full report | [trust report](/tools/anush008-fastembed-rs/trust.md) | [trust report](/tools/redis-redis/trust.md) | ## Decision facts: redis - **Adopt for:** 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. ## Choose when ### Choose fastembed-rs if… - fastembed-rs is primarily Rust; redis is C. - License: fastembed-rs is Apache-2.0, redis is Other. - Tags unique to fastembed-rs: embeddings, fastembed, rag, reranker. - Also covers LLM Frameworks. ### Choose redis if… - redis is primarily C; fastembed-rs is Rust. - License: redis is Other, fastembed-rs is Apache-2.0. - Tags unique to redis: cache, caching, database, in-memory. - You need high-speed access to frequently used data due to Redis's in-memory nature. ## When NOT to use fastembed-rs - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## 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. ## Common questions ### What is the difference between fastembed-rs and redis? fastembed-rs: Rust library for generating vector embeddings, reranking locally!. 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-rs over redis? Choose fastembed-rs over redis when fastembed-rs is primarily Rust; redis is C; License: fastembed-rs is Apache-2.0, redis is Other; Tags unique to fastembed-rs: embeddings, fastembed, rag, reranker; Also covers LLM Frameworks. ### When should I choose redis over fastembed-rs? Choose redis over fastembed-rs when redis is primarily C; fastembed-rs is Rust; License: redis is Other, fastembed-rs is Apache-2.0; Tags unique to redis: cache, caching, database, in-memory; You need high-speed access to frequently used data due to Redis's in-memory nature. ### When should I avoid fastembed-rs? Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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-rs or redis more popular on GitHub? redis has more GitHub stars (75,394 vs 958). Stars measure visibility, not whether either tool fits your constraints. ### Are fastembed-rs and redis open source? Yes - both are open-source projects on GitHub (fastembed-rs: Apache-2.0, redis: Other). ### Where can I find alternatives to fastembed-rs or redis? GraphCanon lists graph-backed alternatives at [fastembed-rs alternatives](/tools/anush008-fastembed-rs/alternatives) and [redis alternatives](/tools/redis-redis/alternatives) ([fastembed-rs markdown twin](/tools/anush008-fastembed-rs/alternatives.md), [redis markdown twin](/tools/redis-redis/alternatives.md)), 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](/compare/anush008-fastembed-rs-vs-redis-redis.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, fastembed-rs or redis? fastembed-rs: 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-rs and redis? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [fastembed-rs trust report](/tools/anush008-fastembed-rs/trust); [redis trust report](/tools/redis-redis/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=anush008-fastembed-rs`](/api/graphcanon/graph?tool=anush008-fastembed-rs) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_