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

🔀Output Parsers

An output parser acts as a translator between LLMs and your application. It takes the raw, unformatted text generated by an LLM and transforms it into a more usable format suited for your needs.

Previous👥Multi AgentsNext📝Prompts

Last updated 10 months ago

1)CSV Output Parser

Parse the output of an LLM call as a comma-separated list of values.

2)Custom List Output Parser

Parse the output of an LLM call as a list of values.

3)Structured Output Parser

Parse the output of an LLM call into a given (JSON) structure.

4)Advanced Structured Output Parser

Parse the output of an LLM call into a given structure by providing a Zod schema.