THub Technical Documentation
  • Introduction
  • 🔗 LangChain
    • 🕵️ Agents
    • 🗄️Cache
    • ⛓️Chains
    • 🗨️Chat Models
    • 📁Document Loaders
    • 🧬Embeddings
    • 🧠Large Language Models(LLM)
    • 💾Memory
    • 🛡️Moderation
    • 👥Multi Agents
    • 🔀Output Parsers
    • 📝Prompts
    • 📊Record Managers
    • 📑Retrieval-Augmented Generation
    • 🔍Retrivers
    • ✂️Text Splitters
    • 🛠️Tools
    • 🔌Utilities
    • 🗃️Vector Stores
  • 🦙LLama Index
    • 🕵️ Agents
    • 🗨️Chat Models
    • 🧬Embeddings
    • 🚀Engine's
    • 🧪Response Synthesizer
    • 🛠️Tools
    • 🗃️Vector Stores
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  1. 🔗 LangChain

📝Prompts

A text input or instruction given to an AI model to guide its response. It serves as the context and directive for the AI, shaping the output by providing specific information, questions or tasks.

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Last updated 10 months ago

1)Chat Prompt Template

Schema to represent a chat prompt.

2)Few Shot Prompt Template

Prompt template you can build with examples.

3)Prompt Template

Schema to represent a basic prompt for an LLM.