Tutorials on Secure Api Keys Python

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Python dotenv for LangChain Agents: Safe .env Patterns for RAG, Tools, and Local LLM Apps

Watch: Build a RAG (Retrieval-Augmented Generation) System from Scratch | Python + Vector DB + LLM by CodeVisium Python-dotenv gives local LangChain projects a simple way to keep credentials out of source code while still making them available through os.environ. It works well for solo prototypes,…
Thumbnail Image of Tutorial Python dotenv for LangChain Agents: Safe .env Patterns for RAG, Tools, and Local LLM Apps
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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Build a Python RAG App: Load API Keys with `load_dotenv`

Secure key handling stopped being optional the moment you wired an OpenAI or Pinecone key into your code. Never hard-code secrets. Build a clean virtual environment, pin your dependencies in a requirements.txt, and let load_dotenv read your keys from a .env file at runtime. Start with isolation. A…
Thumbnail Image of Tutorial Build a Python RAG App: Load API Keys with `load_dotenv`
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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