Research Saathi
Multi-agent RAG research assistant for grounded knowledge synthesis.
RS
Research Saathi
Case study visual placeholder
Architecture flow
2 layersProblem
Research workflows often fragment across PDFs, notes, web searches, and summaries, making citation tracking and factual grounding difficult.
My Role
Designed the agent workflow, retrieval/fallback behavior, and knowledge persistence approach.
Solution
Retrieval agents gather grounded context from documents and web sources while reasoning agents synthesize structured answers.
Stack
Case study
Problem
Research workflows often fragment across PDFs, notes, web searches, and summaries, making citation tracking and factual grounding difficult.
Proof signal
Multi-agent RAG · Web fallback agents · Persistent knowledge base
My Role
Designed the agent workflow, retrieval/fallback behavior, and knowledge persistence approach.
Core product work
- Document retrieval
- Web fallback
- Grounded synthesis
- Knowledge persistence
Solution
Retrieval agents gather grounded context from documents and web sources while reasoning agents synthesize structured answers.
Documents and web sources are embedded into a vector store, retrieval agents collect grounded context, reasoning agents synthesize the answer, and fallback web-search agents fill missing context when local retrieval is weak.
Architecture Highlights
Retrieval agents with reasoning-agent synthesis
Fallback web-search behavior for weak local context
Persistent knowledge base for reusable findings
Challenges and Tradeoffs
- Balancing local retrieval with external search without mixing weak context into final answers.
- Maintaining traceability from generated answers back to source material.
Impact / Outcome
- Designed a research workflow that keeps retrieval and reasoning responsibilities explicit.
- Reduced hallucination risk through grounding and fallback search patterns.
Learnings
- Agentic RAG systems need clear routing decisions before synthesis.
- Persistent knowledge bases are most useful when source provenance is preserved.
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