Faiss vs Qdrant
Faiss: Meta's C++/Python library for fast dense-vector similarity search and clustering, CPU and GPU. Qdrant: Rust vector search engine with rich payload filtering, quantization and a managed cloud.
key differences
- Horizontal scaling is manual in Faiss and native in Qdrant.
- Only Faiss has in-memory.
- Only Qdrant has secondary indexes, full-text search, geospatial, json, durable persistence.
- Faiss can run embedded in your application process.
choose faiss for
- +Embedding similarity search inside ML pipelines
- +Offline deduplication and clustering
- +Building custom vector search services
- +ANN research and benchmarking
best at · Vector search, Embedded, Scientific
choose qdrant for
- +RAG retrieval with metadata filtering
- +Recommendation and similarity search
- +Image and multimodal search
- +Multi-tenant semantic search
best at · Vector search, RAG
Faiss vs Qdrant: FAQ
What is the difference between Faiss and Qdrant?
Faiss: Meta's C++/Python library for fast dense-vector similarity search and clustering, CPU and GPU. Qdrant: Rust vector search engine with rich payload filtering, quantization and a managed cloud. Horizontal scaling is manual in Faiss and native in Qdrant. Only Faiss has in-memory. Only Qdrant has secondary indexes, full-text search, geospatial, json, durable persistence.
When should I choose Faiss over Qdrant?
Choose Faiss for embedding similarity search inside ML pipelines; offline deduplication and clustering; and building custom vector search services. Choose Qdrant for RAG retrieval with metadata filtering; recommendation and similarity search; and image and multimodal search.
Is Faiss or Qdrant more popular?
Faiss ranks #40 on the WhichDB Score (44.7/100) and Qdrant ranks #55 (35.9/100). Popularity is not fit: check the requirements that matter for your project.
Are Faiss and Qdrant open source?
Yes. Faiss is open source. License: MIT License. Yes. Qdrant is open source. License: Apache License 2.0.