Pocharlies Qdrant

F 43 completed
Data Tool
containerized / python · tiny
30
Files
11,252
LOC
0
Frameworks
8
Languages

Pipeline State

completed
Run ID
#370859
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
59.33
Framework unique
Isolation
Last stage change
2026-05-10 03:35:28
Deduplication group #52485
Member of a group with 8 similar repo(s) — canonical #94278 view group →
Top concepts (1)
DevOps/Infrastructure
Repobility · severity-and-effort ranking · https://repobility.com

AI Prompt

I want to build a scalable search engine using QDrant for efficient data retrieval. Can you set up the structure using Python? The project should be containerized, so please include a `docker-compose.yml` file. I see directories for `mcp-server/` and `rag-service/`, so please structure the code to support these services. I also need to handle environment variables using a `.env.example` file.
python qdrant search-engine docker containerization rag data-retrieval backend
Generated by gemma4:latest

Catalog Information

This project is a QDrant-based search engine for efficient and scalable data retrieval.

Description

Pocharlies-qdrant is a search engine built on top of the QDrant database, designed to provide efficient and scalable data retrieval capabilities. It utilizes Python as its primary programming language. The project leverages Redis for additional functionality. Currently, there is no detailed description available in the README.

الوصف

هذا المشروع هو محرك بحث مبني على قدرنت، مصمم لتقديم قدرات استرجاع البيانات الفعالة والمتوفرة على نطاق واسع. يستخدم البرنامج الرئيسي لغة بايثون. يعتمد المشروع على ريدس للوظائف الإضافية. في الوقت الحالي، لا تتوافر وصفة مفصلة في README.

Novelty

5/10

Tags

search-engine efficient-data-retrieval scalable-search qdrant-database redis-technology

Claude Models

claude-opus-4.6

Quality Score

F
43.3/100
Structure
27
Code Quality
60
Documentation
38
Testing
0
Practices
65
Security
75
Dependencies
60

Strengths

  • Consistent naming conventions (snake_case)
  • Containerized deployment (Docker)

Weaknesses

  • Missing README file \u2014 critical for project understanding
  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment
  • 869 duplicate lines detected \u2014 consider DRY refactoring
  • 5 'god files' with >500 LOC need decomposition

Recommendations

  • Add a comprehensive README.md explaining purpose, setup, usage, and architecture
  • Add a test suite \u2014 start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

6.8h
Tech Debt (B)
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (14)
Repobility — same analyzer, your code, free for public repos · /scan/
Unknown
License
5.5%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
63.7%
javascript
12.4%
markdown
10.2%
css
8.8%
html
3.1%
json
1.0%
yaml
0.6%
text
0.2%

Frameworks

None detected

Concepts (1)

All metrics by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Repobility's GitHub App fixes findings like these · https://github.com/apps/repobility-bot
auto_categoryDevOps/Infrastructuredevops-infra70%

Quality Timeline

1 quality score recorded.

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