Qdrant vs txtai
A side-by-side comparison of two self-hosted apps from related categories — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Qdrant
High-performance open-source vector search engine
VS
txtai
All-in-one embeddings database for semantic search and RAG
| Feature | Qdrant | txtai |
|---|---|---|
| Category | Search Engines | Self-Hosted AI |
| License | Apache-2.0 | Apache-2.0 |
| Language | Rust | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 512 MB | 2,048 MB |
| Deployment | docker, kubernetes, helm | bare-metal, source, docker |
| GitHub stars | ★ 33,837 | ★ 12,813 |
| First released | 2021 | 2020 |
| Replaces | Pinecone, Algolia | Pinecone |
Why pick each one
Choose txtai if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Mature project with 12.8k GitHub stars
- Written in Python
Frequently asked questions
Is Qdrant or txtai better?
Neither is universally better. Qdrant has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Qdrant and txtai free and open-source?
Yes. Qdrant is licensed under Apache-2.0 and txtai under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Qdrant and txtai with Docker?
Qdrant: yes. txtai: yes.