Artificial Intelligence

Cards (9)

  • LangChain
    An open-source framework for creating applications using LLMs with ease.
  • Key components of LangChain
    • Schema
    • Models
    • Prompts
    • Indexes
    • Memory
    • Chains
    • Agents
  • Schema
    • Defines the data types within LangChain, including Text, ChatMessages, Examples, and Document.
  • Models
    • Interact with LLMs to generate vector embeddings, submit prompts, and open chat sessions.
  • Prompts
    • This feature enables the use of placeholders to parameterize common prompts with real-time data, thereby enhancing efficiency.
  • Indexes

    This helps to find useful information from different data sources in order to enhance LLM responses.
  • Memory
    • This feature allows LLMs to retain the context of previous interactions and recall pertinent information in subsequent interactions.
  • Chains:

    Links together multiple LangChain components, automating the sequence of LLM calls and actions.
  • Agents can take actions and make decisions based on their environment using the Retrieval Augmented Generation (RAG) pattern.