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💸 Day 3 of LangGraph.js week: Stockbroker agent in JavaScript 💸 LangGraph.js week continues! Today, we're featuring an end-to-end example of a stockbroker agent app that can make purchases and retrieve information using virat’s financial data API. This app uses dynamic

With the Box loader for LangChain, you can now easily integrate documents from Box into your LangChain workflows. You can store large amounts of unstructured data in Box and manage and process the data with LangChain. See how to implement the loader + reference potential use

🛝 Day 4 of LangGraph.js week: Agent Streaming 🛝 Streaming is at the heart of responsive agent-user experiences. Since agent tasks can take time to complete, streaming helps your agent meet user expectations by providing user feedback as your app makes progress. Today, we’re

Streaming Agent Messages with LangGraph.js The newest video in our LangGraph.js series covers each method of streaming messages from the server - client. It covers everything from only streaming updates, to streaming every single event which occurs throughout the run. This

🧑‍💻LangChain 0.3 dev releases After some time, we are migrating LangChain from Pydantic 1 to Pydantic 2 Any feedback you are willing to share is helpful as we iron out the kinks and work toward a smooth 0.3.0 release🙏 More details: github.com/langchain-ai/l…

⚡️LangGraph for parallel processing Often when building agentic applications that you may want to do things in parallel One of the benefits of using a low-level, highly controllable framework like LangGraph is that you can easily do that ai.gopubby.com/langgraph-and-…

I added docker setup to my open source LangChain financial agent. You can now run both the frontend and backend with a single command: `docker-compose up` Also, this project just hit 500 stars on github. Let's see if we can get it to 1000.

🧠 Day 5 of LangGraph.js Week: Small Models 🧠 Small LLMs shine when given more focused tasks and context - which pairs perfectly with LangGraph.js! We've created a guide using Llama 3.1 8B on @Togethercompute that models a customer support agent for a computer company. The

🧮How Paradigm runs and monitors 1000s of agents in parallel with LangChain & LangSmith Paradigm launched this week with a spreadsheet-style agent They need to run 1000s of agents in parallel. Read about how they did that blog.langchain.dev/customers-para…

🔧Tool Calling in LangChain.js Part 2 Tool calling is an important part of building agents This is a great article to check out if you want to see how to do this in LangChain JS. We try to make it as easy and flexible as possible js-craft.io/blog/tool-call…

👨‍💻Autonomous Code Assistant - Code more, type less Built with Nile and OpenAI to search an organization's codebase Good example of an open source, LangChain JS project github.com/niledatabase/n…

🪂Building A Generative AI Platform Really great piece by Chip Huyen on building a generative AI platform. Fun weekend read! Covers a lot of the core components and players in the space. Love the shout outs to LangChain/LangSmith! huyenchip.com/2024/07/25/gen…

✂️Solving the out-of-context chunk problem for RAG This is a really thoughtful piece about how better chunking can lead to better RAG results. Does some actual analysis Even better, comes with an example LangChain retriever so you can easily try it! d-star.ai/solving-the-ou…

📊AI-Driven Research Assistant This is an advanced AI-powered research assistant system that utilizes multiple specialized agents to assist in tasks such as data analysis, visualization, and report generation Fully open source, uses LangGraph! github.com/starpig1129/ai…

AskItRight: AI-Powered PDF Query Application 🚀 Key Features: 📄 Uploading PDFs ❓ Asking questions of PDFs 📊 Tracking usage statistics. 🔧 Administrative operations like clearing data and deleting files. 🔍 Viewing PDF files 📝 Prompt management github.com/AbdArdati/PDFQ…

Honored to be recognized in the 2024 Intelligent Applications 40 as one of the top companies building and enabling AI applications. #ia40 Thank you Madrona, AWS Startups, Microsoft, NYSE 🏛, Delta, McKinsey & Company, & Morgan Stanley. See the full list: IA40.com.

ICYMI from this weekend - LangGraph helps make small LLMs effective for agentic applications! Check out the below tutorial that uses Llama 3.1 8B on Together AI with LangGraph.js to build a versatile customer support agent:

Calling all developers: We want to hear how you're using AI agents - whether it's a juicy use case or your biggest challenge when going to production. Take our State of AI Agents survey below to share your thoughts & get a chance to win swag or a $250 gift card: