Thanks!! I stripped out Langchain for two reasons (1) I didn’t think it was set up correctly and I wanted some time to think on how to do it right, and (2) it felt a little opinionated and wanted to share a barebones structure first to make it easy for people to iterate on.
@yoheinakajima
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Exploring Llama and LlamaIndex AI frameworks
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Ohhh sorry I was confusing w Llamaindex. I haven’t tried llama, I should dig in
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LangChain Executor Agent Implementation Cleanup
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I have a version w Langchain as executor agent, just need to clean up a bit
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Collaborative Learning Beats Solo Work in AI Communities
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For me, it’s more fun to collaborate and learn with others vs doing it alone
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Adapting Prompts for Specific Use Cases Increases AI Power
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Nice, that’s a great use case! I bet adapting prompt to specific use case make this much more powerful.
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Hybrid Search Strategy for LLM Date Filtering and Vector Queries
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So I think this is a case where you might to use hybrid search. You can store the dates as metadata, and have the LLM create an array with the date to filter by, and then a query for the vector search.
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AutoGPT Code Review: Impressive Open Source Agent
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Honestly haven’t dug into the code for autoGPT so I don’t know but it looks awesome
