qdrant and Basic-Qdrant-Upload-and-Search-Example

The official Qdrant vector database (A) is complemented by a third-party example repository (B) that demonstrates practical implementation patterns for uploading data and performing semantic searches within Qdrant for AI retrieval applications.

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Language: Rust
License: Apache-2.0
Stars: 2
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Commits (30d): 0
Language: Python
License: MIT
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About qdrant

qdrant/qdrant

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

This helps AI developers and data scientists build and manage powerful search, recommendation, and classification applications. It takes high-dimensional numerical data (vectors/embeddings) and associated information (payloads) as input. It then allows users to quickly search for similar items, apply complex filters, and power various AI applications, making it ideal for those working with neural networks and semantic data.

AI-application-development semantic-search recommendation-engines machine-learning-operations data-science

About Basic-Qdrant-Upload-and-Search-Example

libraryofcelsus/Basic-Qdrant-Upload-and-Search-Example

Example code on how to upload and search a Qdrant Vector Database for Ai Chatbot Retrieval Frameworks

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