This is a great video! Really helpful for getting started. I appreciate you going over the tools required (Pinecone, AWS) to actually train the model. I’m still working on collecting my corpus, but do you suggestions on ways to productionize a mode, outside of a Jupyter Notebook, perhaps how to host it on a simple website? I want to share my model for others to use and evaluate the responses!
Hey Katherine! That's a great question! Thy way I usually productionize my chatbots is by wrapping them in an API using LangServe and interacting with them via Voiceflow (they provide website integration out-of-the-box). I described this strategy in one of my Medium articles: medium.com/@lorevanoudenhove/production-ready-chatbots-with-langchain-langserve-pinecone-and-aws-e65a00e832e3. I hope this helps! 🙂
I was looking some references to play around with RAG and LLM, and it's been go through with your tutorial which helping so much to started
Very good tutorial.
@@alexramos587 Thanks! 👊
This is a great video! Really helpful for getting started. I appreciate you going over the tools required (Pinecone, AWS) to actually train the model. I’m still working on collecting my corpus, but do you suggestions on ways to productionize a mode, outside of a Jupyter Notebook, perhaps how to host it on a simple website? I want to share my model for others to use and evaluate the responses!
Hey Katherine! That's a great question! Thy way I usually productionize my chatbots is by wrapping them in an API using LangServe and interacting with them via Voiceflow (they provide website integration out-of-the-box). I described this strategy in one of my Medium articles: medium.com/@lorevanoudenhove/production-ready-chatbots-with-langchain-langserve-pinecone-and-aws-e65a00e832e3.
I hope this helps! 🙂
Super interessant!