Tag LLM
How Prompt Caching Works: A Deep Dive into Optimizing AI Efficiency
How Moshi Works: A Simple Guide to the to Open Source Real Time Voice LLMs
You’ve probably heard a lot about large language models (LLMs) these days—OpenAI’s GPT models, Google’s Bard, or maybe even Meta’s LLaMA. But what if I told you there’s a model that takes things to the next level by making these…
Simple Agentic RAG for Multi Vector stores with LangChain and LangGraph
When beginning with RAG and vector store creation, one question will come back soon: How can you choose the correct vector for each user in a simple way? If you have this question, then you are in the right place…
Implement your own low cost and scalable vector store using LanceDB, LangChain and AWS
Do you have a great idea for an app and need a powerful but affordable vector store solution? You already have something but the cost of your current vector store is too much ?Then you are in the right place…
Easily create production ready APIs over your LangChain chains using LangServe
So you’ve got some nice LangChain chains and you want to expose them to the world as an API? Or you need to create some internal LLM-based APIs for your projects ? Are you looking for something robust, scalable, production-ready,…
Add monitoring easily to your Langchain chains with Langfuse
You have created a nice Langchain application using the latest best practices (that you read on this blog, right? Of course!) and you are wondering how you are going add monitoring to it ?You have come to the right place.…