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Agentic File Search replaces RAG with autonomous agents
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YT · YOUTUBE// 14d agoOPENSOURCE RELEASE

Agentic File Search replaces RAG with autonomous agents

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Agentic File Search reimagines document retrieval by replacing pre-computed embeddings with an autonomous AI agent powered by Gemini 1.5 Flash and Docling. The system navigates file structures natively using specialized tools to follow complex cross-references that traditional semantic search misses.

// ANALYSIS
  • –Agents are replacing static RAG pipelines: This project perfectly illustrates the industry shift from brittle vector search toward capable agents that can utilize standard file system tools to find answers.
  • –High accuracy with low latency: By leveraging Gemini 1.5 Flash and structured JSON outputs, the system achieves complex multi-hop reasoning efficiently and at a low cost of roughly $0.001 per query.
  • –Broad enterprise format support: The integration of Docling enables seamless processing of diverse formats (PDF, DOCX, PPTX, XLSX) without requiring complex, custom pre-processing pipelines.
  • –Transparent and auditable reasoning: The included FastAPI/WebSocket Web UI provides real-time execution logs and citations, making the agent's thought process transparent to the user.
// TAGS
agentic-file-searchagentragdocument-searchgeminiopen-sourcepython

DISCOVERED

14d ago

2026-03-28

PUBLISHED

14d ago

2026-03-28

RELEVANCE

6/ 10

AUTHOR

Prompt Engineering