FAISS vs ChromaDB: Complete Guide to Vector Databases and Hybrid Approaches
· 15 min read
Vector databases have become essential infrastructure for modern AI applications, powering everything from semantic search to recommendation systems. Two popular solutions dominating the landscape are FAISS (Facebook AI Similarity Search) and ChromaDB. But which one should you choose for your project? More importantly, can you combine their strengths?
In this comprehensive guide, we'll explore the fundamental differences between FAISS and ChromaDB, compare their performance characteristics, and show you how to create a hybrid approach that leverages the best of both worlds.