This repo contains a collection of tutorials, demos, and how-to guides on how to use Qdrant and adjacent technologies.
Example | Description | Technologies |
---|---|---|
Huggingface Spaces with Qdrant | Host a public demo quickly for your similarity app with HF Spaces and Qdrant Cloud | HF Spaces, CLIP, semantic image search |
QA which is always updated: Recency and Cohere using Llama Index | Notebook which demonstrates how you can keep your QA system always use updated information | Llama Index, OpenAI Embeddings, Cohere Reranker |
Qdrant 101 - Getting Started | Introduction to semantic search and the recommendation API of Qdrant | NumPy and Faker |
Qdrant 101 - Text Data | Introduction to the intersection of Vector Databases and Natural Language Processing | transformers, datasets, GPT-2, Sentence Transformers, PyTorch |
Qdrant 101 - Audio Data | Introduction to audio data, audio embeddings, and music recommendation systems | transformers, librosa, openl3, panns_inference, streamlit, datasets, PyTorch |
Ecommerce - reverse image search | Notebook demonstrating how to implement a reverse image search for ecommerce | CLIP, semantic image search, Sentence-Transformers |
Serverless Semantic Search | Get a semantic page search without setting up a server | Rust, AWS lambda, Cohere embedding |
Basic RAG | Basic RAG pipeline with Qdrant and OpenAI SDKs | OpenAI, Qdrant, FastEmbed |
Step-back prompting in Langchain RAG | Step-back prompting for RAG, implemented in Langchain | OpenAI, Qdrant, Cohere, Langchain |
Collaborative Filtering and MovieLens | A notebook demonstrating how to build a collaborative filtering system using Qdrant | Sparse Vectors, Qdrant |
Use semantic search to navigate your codebase | Implement semantic search application for code search task | Qdrant, Python, sentence-transformers, Jina |