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

The official Python client library provides the SDK needed to interact with Qdrant, while the example code demonstrates practical implementation patterns for that client in AI chatbot applications, making them complements rather than competitors.

qdrant-client

Verified

Basic-Qdrant-Upload-and-Search-Example

Emerging

Maintenance 17/25

Adoption 15/25

Maturity 25/25

Community 23/25

Maintenance 0/25

Adoption 2/25

Maturity 16/25

Community 12/25

Stars: 1,240

Forks: 202

Downloads: —

Commits (30d): 6

Language: Python

License: Apache-2.0

Stars: 2

Forks: 1

Downloads: —

Commits (30d): 0

Language: Python

License: MIT

No risk flags

Stale 6m No Package No Dependents

About qdrant-client

qdrant/qdrant-client

Python client for Qdrant vector search engine

This is a Python tool that helps developers interact with a vector search engine to find similar data points. You can input text, images, or other data, and it helps store them as 'vectors' and then quickly find other vectors that are semantically similar. This is primarily used by developers building applications that require searching and retrieving information based on meaning, rather than exact keywords.

semantic-search information-retrieval vector-databases AI-application-development data-indexing

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

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