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A collection of examples and tutorials for Qdrant vector search engine

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Qdrant Examples

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

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