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Project
Deepresearch V3
Agentic search engine with advanced retrieval and multi-step reasoning.
SearchRAGLLM ReasoningPython
Overview
Deepresearch V3 is an agentic search engine that goes beyond keyword matching — it performs multi-step retrieval, synthesizes information from multiple sources, and produces structured research outputs.
My Role
Contributed to the retrieval pipeline and reasoning architecture, improving search quality and multi-hop question answering.
Approach
- Enhanced the retrieval pipeline with hybrid search combining dense embeddings and sparse keyword matching.
- Implemented multi-step reasoning chains that decompose complex queries into sub-questions.
- Built source attribution and citation tracking for generated research outputs.
- Optimized latency through parallel retrieval and caching strategies.
Outcome
Used internally for research workflows. Improved retrieval accuracy and enabled complex multi-hop research queries.