Deep Agent - Multi Agent RAG with Gemini and Langchain By KGP Talkie | Laxmi Kant
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Deep Agent - Multi Agent RAG with Gemini and Langchain · Program
About this program
Deep Agent - Multi Agent RAG with Gemini and Langchain
Online Course
Learning format
AI Agents
Subcategory
English
Course language
$39.99 (list $9.99)
Price
Price may change · updated within 1–2 weeks
Official program page
What you'll learn in Deep Agent - Multi Agent RAG with Gemini and Langchain
- Build production-ready AI agents using Google Gemini, LangChain v1, MCP, and modern agent design patterns.
- Design and implement multimodal RAG pipelines using Docling, Gemini, Qdrant vector database, and hybrid search.
- Process PDFs, tables, and images at scale using Docling, Docker, and structured data extraction techniques.
- Implement hybrid search, re-ranking, memory, MCP tools, and cost-optimized context caching in real AI systems
- Create autonomous multi-agent research systems with orchestrator, researcher, and editor agents for finance use cases.
What's Included in Deep Agent - Multi Agent RAG with Gemini and Langchain
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