I tested 7 vector databases for my RAG stack in 2026, here's the one nobody is talking about (yet)
📰 Dev.to · ZpoR DAta
Benchmark 7 vector databases to find the best fit for your RAG stack
Action Steps
- Choose 7 vector databases to benchmark, including Pinecone and Weaviate
- Run benchmarking tests on each database using a standard dataset
- Compare the performance metrics of each database, such as query speed and accuracy
- Evaluate the scalability and ease of use of each database
- Select the best vector database for your RAG stack based on the benchmarking results
Who Needs to Know This
Data scientists and engineers building RAG stacks can benefit from this comparison to choose the most suitable vector database for their project
Key Insight
💡 Pinecone, Weaviate, Qdrant, Milvus, pgvector, SurrealDB, and one other database were benchmarked, but the article hints that one of them stands out
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🚀 Benchmarking 7 vector databases for RAG stacks! 🤯
Key Takeaways
Benchmark 7 vector databases to find the best fit for your RAG stack
Full Article
TL;DR: I spent 1 week benchmarking Pinecone, Weaviate, Qdrant, Milvus, pgvector, SurrealDB, and...
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