Create a Langchain app with multiple vector store the easy way
Learn, in simple steps, how to create an LLM app using Langchain and Streamlit with multiple vector stores for RAG use cases
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5 pragmatic LLM cost optimization strategies
Learn 5 pragmatic strategies to lower your LLM costs from the simplest to the more complex and begin slashing those billes.
Use your own LLM endpoint with Langchain
Learn how to integrate easily your custom deployed LLM models on AWS Sagemaker into your Langchain codes.
Deploy a RAG app with Langchain in minutes
Easily deploy a Langchain RAG application with Streamlit and begin prototyping right now.
Never use local LLM again, do this instead
Learn the limits of Local LLM and never use them again unless you have no choice and find out you can do it then.
Deploy an LLM on AWS in 5 min
Find out how you can deploy easily your own LLM models from Hugging Face on AWS using AWS Sagemaker. Introduction In this blog post, we are going to deploy an open-source LLM, Mistral 7B, on AWS in literally 5 min…