azure-open-ai-embeddings-qna itmilos · COMPLETED
A simple web application for a OpenAI-enabled document search. This repo uses Azure OpenAI Service for creating embeddings vectors from documents. For answering the question of a user, it retrieves the most relevant document and then uses GPT-3, GPT-3.5 or GPT-4 to extract the matching answer for the question.
github.com/itmilos/azure-open-ai-embeddings-qna · ★ 0 · Forks 0 · Size 1.1 MB
SUMMARY
Technologies 11
Scored 11
Observed 11
Practices 6
Evidence 11
Skips 0
COVERAGE
Analyzed 54 files · 153 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
3 files · PRODUCTION
JSON LANGUAGE Depth 70
9 files · PRODUCTION
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
3 files · PRODUCTION
Python LANGUAGE Depth 70
21 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 66
2 files · PRODUCTION
Pydantic LIBRARY Depth 58
1 files · PRODUCTION
Redis CACHE Depth 100
9 files · CONFIGURATION, PRODUCTION
Requests LIBRARY Depth 58
1 files · PRODUCTION
pandas LIBRARY Depth 70
3 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · observedcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2022-11-21
Last commit 2023-05-23
Active months 7
Commits 153