What is LangChain LCEL? Discover 3 Exciting Use Cases
So, let’s see what is LangChain LCEL. LangChain Expression Language is just a new simplified way of constructing LangChain chains. You can consider LangChaion LCEL a shorthand for writing instructions for your computer to interact with large language models (LLMs). If you’re unfamiliar with chains, LangChain is named as such. “Lang” refers to language, and […]
LangChain Text Splitters: How to Split Text 3 Examples
LangChain Text Splitters helps us split the texts. Especially when we want our text to fit into our LLM’s context windows, for example, in RAG and many other applications. In this blog, we will discuss 3 text splitters that are widely used; later in my next blog, I will discuss the rest.In this blog, you […]
LangSmith a Revolutionizing Tool in the Field of Gen AI
Do you want to do a granular analysis of your projects? spending hours wrestling with your code instead of innovating something? The field of generative AI is booming, with applications like chatbots and content generation changing how we interact with technology. But as these models get more powerful, the development process can become tangled. Just […]
LangChain Claude AI: Guru’s Path to Powerful RAG (2024)
Let’s talk about an LLM with a 200K context window, a more intelligent but still cheaper LLM. Claude is an LLM developed by Anthropic which claims to be better than ChatGPT in many benchmarks; even customer reviews are better than ChatGPT. This blog on Langchain Claude AI will teach you how to build a RAG […]
LangChain Document Loader: How To Load Any Document Effortlessly
LangChain Document Loader is another feature of LangChain that offers flexibility and more power to a developer. With its versatility, ease, and flexibility, a developer can easily enhance any app’s power by performing various operations on the uploaded document using the LangChain Document Loader. In this blog, you will learn: What is the LangChain Document […]
LangChain Embeddings: An Easy Way to Understand Vector Embeddings
Do you know how to create embeddings using the LangChain and OpenAI APIs? With LangChain Embeddings, you can easily figure it out and understand what vector embeddings are. Ever wondered how Google understands our intentions when we search for anything and how our faces are read and compared by models? How are our favorite products […]
What is Langchain Hub? How to Use Langchain Hub
Prompt engineering is the future? Where can I find the community? Langchain Hub is a platform in Langchain within Langchain Smith to share prompts, learn from others’ prompts, and use other’s prompts. It is really simple to use and helps us save time. It’s integrated with Langsmith having 5K active teams and more than 80K […]
How to Use LLM’s In Hugging Face With LangChain
Want to learn how to use Hugging Face with LangChain to use it’s LLM’s or are you exploring some free LLM’s on Hugging Face but don’t know how? Then this blog is for you. Hugging Face has numerous open-source LLM’s that can be integrated with LangChain Today, you will learn how to use hugging face […]
How to Store Embeddings Using LangChain Weaviate
LangChain Weaviate is another easy-to-use vector store that you will learn about in this blog. In this blog, I will make it easy for you to learn how to use LangCahin Weaviate and to create and store embeddings using Hugging Face. From API creation to code, you learn everything on this blog. Let’s quickly start […]
LangChain Agent: New Force Connecting LLM and the World
LangChain Agent Feature Image
