🛠️Step 2: Choosing the Framework
Framework Options
LlamaIndex:
Pros: Optimized for large-scale indexing and retrieval tasks.
Cons: May require more setup for complex workflows.
LangChain:
Pros: Flexible and modular approach for chaining multiple LLMs and tools.
Cons: Requires a good understanding of LLM interactions.
CrewAI:
Pros: High-level abstractions and extensive tool integrations.
Cons: May have limitations in customizability.
Considerations
Project Requirements: Evaluate the specific needs of your project (e.g., data volume, processing speed, integration complexity).
Community Support: Consider the community and developer support available for each framework.
Scalability: Assess the scalability options provided by the framework for future growth.
Select a minimalist approach
Use OpenAI's API directly
Implement custom ChatBot class
Set up API connection
Install openai library:
Configure API key:
Create ChatBot class:
Initialize with system prompt
Implement call method for interactions
Use openai.ChatCompletion.create() for requests
Resources
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