LearningCircuit/local-deep-research
Mar 2025 – Mar 2025
1 Month active
Languages Used
Python
Technical Skills
API IntegrationBackend DevelopmentConfiguration ManagementLLM IntegrationWeb Scraping
Nikhil Dev Goyal
PROFILE
Nikhil Dev Goyal
Developed a multi-engine search capability for the LearningCircuit/local-deep-research repository, enabling users to select between Serp API and Brave Search as configurable search providers. This feature was implemented using Python and focused on backend development, API integration, and configuration management to allow seamless switching between search engines. The approach diversified available search tools beyond DuckDuckGo, enhancing both resilience and relevance of search results. By introducing new engine implementations and flexible configuration, the work laid the groundwork for faster evaluation and iteration of search quality across providers, supporting operational flexibility and more robust web scraping and LLM integration workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
539
Activity Months1
Your Network
30 peopleShared Repositories
30
Work History
March 2025
2 Commits • 1 Features
Mar 1, 2025Month: 2025-03 — Summary: Delivered multi-engine search capability in LearningCircuit/local-deep-research, enabling Serp API and Brave Search as selectable engines with configurable switching between tools. This work diversifies search providers, improves resilience and relevance, and sets the stage for faster evaluation and iteration of search quality across engines.
2 Commits • 1 Features
Mar 1, 2025Month: 2025-03 — Summary: Delivered multi-engine search capability in LearningCircuit/local-deep-research, enabling Serp API and Brave Search as selectable engines with configurable switching between tools. This work diversifies search providers, improves resilience and relevance, and sets the stage for faster evaluation and iteration of search quality across engines.
March 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability90.0%
Architecture95.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationBackend DevelopmentConfiguration ManagementLLM IntegrationWeb Scraping
Repositories Contributed To
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