Demos & Tutorials

Qdrant offers an array of articles, demos, and tutorials aimed at enhancing understanding and practical skills in areas such as neural search, serverless deployments, and integrations with popular frameworks. The resources include tutorials on creating efficient text embeddings with FastEmbed, implementing search-as-you-type functionality with rapid response times, and developing serverless semantic search engines using Qdrant combined with free cloud services. Additionally, Qdrant showcases the integration of LangChain, a pre-trained language model from OpenAI, and SentenceTransformers to create a question-answering system with minimal code. For those interested in neural search, there is a comprehensive guide and tutorial using BERT, Qdrant, and FastAPI, providing a step-by-step approach to building a neural search service.

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