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---
name: ai-prompting-choose-langchain-when
description: 'Sub-skill of ai-prompting: Choose langchain when: (+4).'
version: 1.0.0
category: ai
type: reference
scripts_exempt: true
---
# Choose langchain when: (+4)
## Choose langchain when:
- Building complex LLM applications with multiple components
- Need agents that can use tools and make decisions
- Implementing RAG (Retrieval Augmented Generation)
- Integrating with various LLM providers and vector stores
## Choose dspy when:
- Optimizing prompts programmatically rather than manually
- Building pipelines where prompt quality is critical
- Need reproducible, testable prompt engineering
- Working with complex multi-step reasoning tasks
## Choose prompt-engineering when:
- Designing prompts from scratch for any use case
- Learning core principles applicable across all LLMs
- Need portable patterns not tied to specific frameworks
- Building simple LLM integrations without heavy frameworks
## Choose pandasai when:
- Enabling non-technical users to query data with natural language
- Building data analysis chatbots or assistants
- Need quick insights from DataFrames without writing code
- Prototyping AI-powered data exploration tools
## Choose agenta when:
- Managing prompt versions across development lifecycle
- Running systematic prompt evaluations and A/B tests
- Need collaboration between engineers and domain experts
- Deploying and monitoring LLM applications in production
