Part of what made our webinar on RAG so great in my mind was that we had an application builder (Pedro from Tavrn) on to talk about what he ACTUALLY does in practice If you are an app builder and want to join a future webinar – reach out! Webinar:
@hwchase17
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Apify enables Twitter data integration with LangChain for AI
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@apify can do this pretty well! Example here: https://
python.langchain.com/docs/integrati
ons/chat_loaders/twitter
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Streamlit Twitter Clone App with LangChain Fine-tuning Exploration
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Streamlit app so you can play around with yourself here: https://
elon-twitter-clone.streamlit.app Code: https://
github.com/langchain-ai/t
witter-finetune
… Going to be exploring this in a webinar next week with @GregKamradt
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Fine-tuning Models for Custom Tone: Elon Musk Example
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One of my favorite use cases for fine-tuning is getting a model to speak in a custom tone This is kinda hard to achieve with just prompting/few-shot Here's an example of fine-tuning a model to tweet like Elon Musk (compare it to what you get by just prompting)
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Redis Filter Expression Language and Metadata Indexing Improvements
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There's some REALLY cool improvements here My two favorites: Automatic Metadata Indexing and support for Redis Filter Expression Language
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Retrieval Systems Fetch Parent Documents for Enhanced Context
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Usually retrieval system then fetch each chunk individually. The idea behind this is you fetch the parent document they come from (for more context)
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LangChain releases chat loaders for Llama fine-tuning event
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If you are in SF tmrw… there is a great event happening tmrw around finetuning Llama In anticipation of that we released some new loaders to help load chat data into an easy-to-use format: https://
blog.langchain.dev/chat-loaders-f
inetune-a-chatmodel-in-your-voice/
… Join the event here: -
RAG Systems Evaluation: Noah Chatbot Lessons Learned
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We had a REALLY fun webinar on evaluating RAG systems yesterday For me, the highlight was Pedro from Tavrn talking about lessons learned when building Noah (their context-aware chatbot) Now on YouTube for some Friday afternoon viewing! https://
youtube.com/watch?v=fWC4Vx
olWAk
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RAG Pipeline Technical Overview and Implementation Guide
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A great overview of what's going on under the hood in a RAG pipeline Thanks for writing this @czue
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Multiple Embeddings Strategy for Enhanced Document Retrieval
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One solution is to start creating not one but MULTIPLE embeddings per document This was the basic realization with our ParentDocumentRetriever ~2 weeks ago, but it's really much more general than that There are many ways to create multiple embeddings