A side-by-side of two vector databases for building AI agents — live GitHub data, languages, and what each is best at.
Short answer: Weaviate leads Weaviate vs sqlite-vec by community traction (★ 17k vs ★ 8.0k). Pick Weaviate for hybrid search; pick sqlite-vec for vectors inside SQLite.
✓ Live data verified
| Weaviate | sqlite-vec | |
|---|---|---|
| GitHub stars | ★ 17k | ★ 8.0k |
| Language | Go | C |
| Category | Vector databases | Vector databases |
| Best for | hybrid search | vectors inside SQLite |
| Repository | weaviate/weaviate | asg017/sqlite-vec |
Weaviate and sqlite-vec are both credible choices. By community traction, Weaviate leads (★ 17k). Pick Weaviate for hybrid search; pick sqlite-vec for vectors inside SQLite.
Both are credible vector databases. By community traction Weaviate leads (★ 17k). Pick Weaviate for hybrid search; pick sqlite-vec for vectors inside SQLite.
Weaviate is Open-source vector database with hybrid search and built-in modules for vectorization and RAG.. sqlite-vec is A single-file SQLite extension for vector search — exact brute-force KNN that lives inside the database you already ship..
Weaviate has more — ★ 17k vs ★ 8.0k (live counts).
Often yes — many teams combine vector databases. Check each tool's docs for interop; they solve overlapping but not identical problems.
Weaviate is primarily Go; sqlite-vec is primarily C.
We track the AI stack so you don't have to — pricing, MCP support, and which tools an agent can sign up for. Free.