Build Your Own AI Assistant Developer Copilot for Startups | Boost Productivity with LLMs & RAG
Автор: minor activity
Загружено: 2025-06-29
Просмотров: 95
Unlock massive productivity gains for your startup by building an internal AI assistant or developer copilot! This guide provides a high-level plan, tech stack options, and practical steps to create intelligent tools that help employees understand architecture, code, documentation, and PRs quickly.
In this video, you'll learn:
Defining Scope & Use Cases: Identify high-impact areas like code explanation, architecture Q&A, documentation search, and PR summarization.
Tech Stack Options: Explore choices for LLM backends (GPT-4, Claude, Gemini), RAG frameworks (LangChain, LlamaIndex), Vector Stores (Pinecone, FAISS), and interfaces (Streamlit, React, Slack bots).
Architecture Blueprint: Understand the RAG pipeline flow from user query to LLM response via your internal knowledge base.
Step-by-Step Build Guide: Detailed instructions on data ingestion (chunking, embedding), building the chat interface, prompt engineering, and crucial security considerations.
Continuous Improvement: Strategies for logging, feedback, and iterative refinement.
Fast Deployment & Frameworks: Recommendations for quick internal deployment and ready-to-use open-source tools like Danswer, OpenDevin, and Continue.dev.
Empower your team with AI and revolutionize internal workflows!
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