LangSmith 101, Boost your Responsible AI with LangChain's Powerful framework A good introductory video in LangSmith Learn how to trace, log, test, and evaluate your applications! https://
youtube.com/watch?v=p03YrC
vLy9Y
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@langchain
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LangSmith 101: Trace, Log, Test Evaluate AI Applications
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Building AI-powered blogging platform with Next.js and Langchain
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Build an AI-powered blogging platform (Next.js, Langchain & CopilotKit) In this article, you will learn how to build an AI-powered blogging platform that can search the web and research any topic for a blog article https://
dev.to/copilotkit/how
-to-build-an-ai-powered-blogging-platform-nextjs-langchain-supabase-1hdp
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Build Serverless AI Chat RAG LangChain.js Azure
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Build a serverless AI chat with RAG using LangChain.js This shows how LangChain.js, Ollama with Mistral 7B model and Azure can be used together to build a serverless chatbot that can answer questions using a RAG pipeline https://
techcommunity.microsoft.com/t5/apps-on-azu
re-blog/build-a-serverless-ai-chat-with-rag-using-langchain-js/ba-p/4111041
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Document Chunking Techniques for Better RAG Applications
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But, How is Chunking Done? To create Better RAG applications, you need to know how to split or chunk the documents so you preserve the content while asking questions. Data Science Basics shows how to do this with LangChain https://
youtube.com/watch?v=tMwdl9
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Chat with PDFs Using Local LLMs and Ollama RAG
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How to chat with your PDFs using local Large Language Models [Ollama RAG] Covers loading PDFs with Unstructured, splitting that text data with RecursiveCharacterTextSplitter, creating embeddings with Ollama https://
youtube.com/watch?v=ztBJqz
BU5kc&t=1s
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Flow Engineering Webinar Recording with LangChain Leaders
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The recording from our Flow Engineering webinar with @hwchase17 and @itamar_mar is up! https://
youtube.com/watch?v=eBjxz7
qrNBs
… "Flow Engineering" is a term that has been gaining in popularity recently. The first time it was mentioned as term was in CodiumAI paper on AlphaCodium, where they -
Benchmarking Results: OpenAI and Anthropic Lead Agent Performance
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Benchmarking Agents We’re happy to share updated benchmarking results using `langchain-benchmarks` to evaluate agents based on different models. @OpenAI and @AnthropicAI take the lead across a variety of tasks. For more explanation about the various benchmarking
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LangChain Weekly Release: Evaluations, Tool Calling, Monitoring
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LangChain Release Notes, week of 4/15 Evaluations video series Standardized tool calling in LangChain Production monitoring and automations in LangSmith New RAG From Scratch videos
Community created content! Read it all here: https://
blog.langchain.dev/week-of-4-15-l
angchain-release-notes/
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Building Reliable Local RAG Agents with Llama3
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Reliable, fully local RAG agents with Llama3 With the release of Llama3, there's high interest in agents that run reliably & locally (e.g., on your laptop). Here, we show to how build reliable local agents using LangGraph and Llama3-8b from scratch. As a example, we combine
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Llama 3 Models Now Available in LangSmith Playground
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Try out the latest Llama 3 8B and 70B models in LangSmith Playground today!
— LangChain (@LangChain) 18 avril 2024
Thanks to our friends at @FireworksAI_HQ! https://t.co/0d6H7X71r1 pic.twitter.com/lsC9Cjr3NYTry out the latest Llama 3 8B and 70B models in LangSmith Playground today! Thanks to our friends at @FireworksAI_HQ
!