Closed a $40K Deal: Built a Context-Aware AI Agent with LLaMA 3 70B, Streamlit UI, and n8n Automation
Last Updated on August 28, 2025 by Editorial Team
Author(s): Yogender Pal
Originally published on Towards AI.
Build and deploy a private GPT4-tier reasoning setup which trains on the custom documents
I successfully delivered a full-blown context-injection AI agent tailored for enterprise use, enabling staff to query and analyze company documents in real time through a robust Retrieval-Augmented Generation (RAG) pipeline.
The article describes the development of a comprehensive AI agent that facilitates real-time querying and analysis of company documents, leveraging a context-aware pipeline powered by LLaMA 3. It details the technologies involved, including LangChain, Streamlit, and n8n for automation, culminating in a robust solution that can be deployed locally and manage document ingestion, querying, and indexing effectively. The implementation is practical and structured, appealing to developers seeking to enhance enterprise operations through AI.
Read the full blog for free on Medium.
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