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Neopolis Akademy · Free AI training

RAG agent to analyze companies' financial results

Advanced lab for financial analysts: build a RAG agent to analyze corporate financial results. Uses n8n to orchestrate GPT/Gemini, Pinecone for vector storage and Google Docs for outputs, with fictional datasets and human validation.

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Agent RAG pour analyser les résultats financiers d'entreprises

Training programme overview

Advanced lab for financial analysts: build a RAG agent to analyze corporate financial results. Uses n8n to orchestrate GPT/Gemini, Pinecone for vector storage and Google Docs for outputs, with fictional datasets and human validation.

Designed for financial and BI analysts, this lab covers setting up a Retrieval-Augmented Generation (RAG) agent for analyzing financial reports.

Architecture: document ingestion, vector indexing in Pinecone, querying with GPT/Gemini orchestrated by n8n, and output into Google Docs.

Works on fictional datasets with control measures and human validation steps to ensure interpretation quality.

1courses
1lessons
4activities
4exercises
0videos

Tutorial / practical work · Advanced

Courses included in this training programme

RAG agent to analyze companies' financial results

Practical session to build a RAG agent for analyzing company financial results: integrate sources, vectorize with Pinecone, orchestrate in n8n and synthesize findings with GPT/Gemini into Google Docs. Covers environment prep, stepwise assembly and security checks.

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1 lessons · 4 activities · 4 exercises · 0 videos

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