CH03 Output Parsers

Output Parser

LangChain's output wave is an important component that transforms the output of a language model (LLM) into a more useful and structured form.

The role of the output wave

• Get the output of LLM and convert it to a more suitable format

• Very useful for generating structured data

• Parse and process various kinds of output data in LangChain framework

Main features

1. Diversity : LangChain offers many kinds of output parsers.

2. Streaming support : Many output parsers support streaming.

3. scalability : Provides a scalable interface from minimal to complex modules.

Advantages of output parser

1. structuring : Converts LLM's free-form text output to structured data.

2. consistency : Keep the output format consistent to facilitate subsequent processing.

3. flexibility : Convert to various output formats (JSON, list, dictionary, etc.).

When using the output wavecer and not

When no output wave

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**Extract the important content:**

1. **From:** Kim Cheol-su ([e-mail])
2. **Recipient:** Lee Eun-chae([e-mail])
3. **title:** "ZENESIS" Bicycle distribution cooperation and meeting schedule proposal
4. **request:**
   - ZENESIS Request a detailed brochure of the model (including technical specifications, battery performance, and design information)
5. **Meeting suggestion:**
   - Date: Next Tuesday (January 15th)
   - Time: 10:00 AM
   - Location: Your office

6. **Sender Information:**
   - Kim Cheol-su, Managing Director, Bike Corporation

Structured answer in JSON format

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{
  "person": "Kim Cheol-su",
  "email": "[e-mail]",
  "subject": "\"ZENESIS\" Bicycle distribution cooperation and meeting schedule proposal",
  "summary": "Kim Cheol-su, managing director of Bike Corporation, presents a new bicycle to Lee Eun-chae, deputy manager of Teddy International. 'ZENESIS' Request for brochures on the model and request for technical specifications, battery performance, and design information. Also, propose a meeting on January 15th at 10:00 AM to discuss cooperation.",
  "date": "January 15th at 10:00 AM"
}

Conclusion

LangChain's output wave is an important tool for developing LLM-based applications. This allows developers to use LLM's output more effectively, Easily convert to structured data can do