Medium articles:
Give openai GPT internet access
Talk to your PDF files in a Pinecone Vector Databases with GPT-4: A Step-by-Step Tutorial
LangChain is a Python library that allows you to chain together multiple APIs and external data sources to create more complex and dynamic AI applications. It acts as a middle layer between different machine learning models and external data sources like databases, web APIs, and file systems, allowing you to easily incorporate them into your AI workflows.
With LangChain, you can chain together multiple models from different libraries, like OpenAI's GPT-3 or Hugging Face's transformers, and connect them to a variety of external data sources. This allows you to create more complex AI applications that can access and utilize a wider range of data sources.
For example, you can use LangChain to create an AI chatbot that can answer questions by accessing data from a database or external API. The chatbot can use multiple models to interpret and understand the user's questions and then use the external data sources to provide relevant answers.
Overall, LangChain provides a flexible and powerful tool for building more sophisticated AI applications by allowing you to connect and utilize a wider range of models and data sources.
