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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.