How to Build an AI-Powered Research Assistant with LangChain & OpenAI

1. Why Build a Custom Research Assistant Instead of Using ChatGPT Directly

• Understand the limitations of generic chatbots for deep, domain-specific research tasks (hallucinations, lack of source grounding, no persistent memory).
• Learn how a custom agent can ingest your own documents, query live web sources, and cite every claim — turning AI from a toy into a reliable research tool.
• Get a clear picture of the tech stack: LangChain for orchestration, OpenAI for reasoning, and vector stores (Chroma/FAISS) for long-term memory.

2. Setting Up Your Environment & API Keys

• Step-by-step instructions to create a Python virtual environment, install dependencies (langchain, openai, chromadb, tiktoken,
  

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  Written byTheo Grant

  Theo Grant explores real-world AI applications, automation workflows, and hands-on tutorials at AI In Action Hub. Theo breaks down complex AI concepts into practical guides that help professionals and creators leverage AI in their daily work.