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.
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.
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
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work