✨ A curated repository of tutorials, demos, and resources for Qdrant vector database applications in the AI ecosystem. ✨
Unofficial | Community-maintained resources (not affiliated with Qdrant).
New to Qdrant? Here's how to get started:
- First time with Qdrant? Start with our Qdrant 101 tutorial✅ Ready!
- Text chunking with Qdrant? Try the Chonkie Integration - ✅ Ready!
- Chonkie Integration - Complete text chunking tutorial with Qdrant handshake
- Qdrant-101 - Foundational Qdrant concepts and getting started
- Quantization - Vector quantization techniques (in development)
- RAG Applications - LangChain & LlamaIndex tutorials (in development)
- Agent Workflows - LangGraph implementations (in development)
- Image Recommendations - Computer vision search systems (planned)
- Embeddings - Matryoshka embeddings and advanced strategies (in development)
| Status | Project | Description | Key Features |
|---|---|---|---|
| ✅ | Chonkie Integration | Text chunking with seamless Qdrant integration | Multiple chunking strategies, performance comparison |
| 🚧 | Image Recommendations | Image similarity search systems (in development) | Computer vision, embeddings, similarity search |
| 🚧 | Agent Workflows | AI agent implementations (planned) | LangGraph, agentic RAG, vector memory |
| Status | Integration | Description | Tutorial |
|---|---|---|---|
| ✅ | Chonkie | Advanced text chunking with Qdrant handshake | Tutorial |
| 🚧 | FastEmbed | Fast, lightweight embedding library | Coming Soon |
| 🚧 | LangChain | Python framework for LLM applications | Coming Soon |
| 🚧 | LlamaIndex | Data framework for LLM applications | Coming Soon |
We welcome contributions to Qdrant Resources! 🎉
We're passionate about contributing to the community and sharing knowledge with developers exploring vector databases and Qdrant.
Please check our CONTRIBUTING.md for detailed guidelines.
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