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21 lines
1.5 KiB
Markdown
21 lines
1.5 KiB
Markdown
# Key Concepts
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## Chains
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A chain is made up of links, which can be either primitives or other chains.
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They vary greatly in complexity and are combination of generic, highly configurable pipelines and more narrow (but usually more complex) pipelines.
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## Sequential Chain
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This is a specific type of chain where multiple other chains are run in sequence, with the outputs being added as inputs
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to the next. A subtype of this type of chain is the [`SimpleSequentialChain`](./generic/sequential_chains.html#simplesequentialchain), where all subchains have only one input and one output,
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and the output of one is therefore used as sole input to the next chain.
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## Prompt Selectors
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One thing that we've noticed is that the best prompt to use is really dependent on the model you use.
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Some prompts work really good with some models, but not great with others.
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One of our goals is provide good chains that "just work" out of the box.
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A big part of chains like that is having prompts that "just work".
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So rather than having a default prompt for chains, we are moving towards a paradigm where if a prompt is not explicitly
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provided we select one with a PromptSelector. This class takes in the model passed in, and returns a default prompt.
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The inner workings of the PromptSelector can look at any aspect of the model - LLM vs ChatModel, OpenAI vs Cohere, GPT3 vs GPT4, etc.
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Due to this being a newer feature, this may not be implemented for all chains, but this is the direction we are moving.
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