forked from Archives/langchain
49593a3e41
I would like to contribute with a jupyter notebook example implementation of an AI Sales Agent using `langchain`. The bot understands the conversation stage (you can define your own stages fitting your needs) using two chains: 1. StageAnalyzerChain - takes context and LLM decides what part of sales conversation is one in 2. SalesConversationChain - generate next message Schema: https://images-genai.s3.us-east-1.amazonaws.com/architecture2.png my original repo: https://github.com/filip-michalsky/SalesGPT This example creates a sales person named Ted Lasso who is trying to sell you mattresses. Happy to update based on your feedback. Thanks, Filip https://twitter.com/FilipMichalsky |
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| .. | ||
| baby_agi_with_agent.ipynb | ||
| baby_agi.ipynb | ||
| camel_role_playing.ipynb | ||
| custom_agent_with_plugin_retrieval.ipynb | ||
| sales_agent_with_context.ipynb | ||
| wikibase_agent.ipynb | ||
