LangChain @LangChainAI
⚡ Build context-aware, reasoning applications ⚡ langchain.com Joined November 2022-
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🚀Rocketnotes Rocketnotes is a OSS, web-based Markdown note taking app with the following features: 📝 Code syntax highlighting 🌳 Hierarchical document tree 🔍 Content search 🔦 Semantic search ✍️ Text completion 🤖 Chat with your docs 📦 Local mode github.com/fynnfluegge/ro…
⚡️Multi-Agent RAG Online Workshop⚡️ If there’s anything better than agentic RAG, it’s multi-agent RAG! In this event, we’ll explore the big idea behind “multi-agent” applications. These types of workflows combine multiple independent agents, which can be structured to work…
🎉 We’re thrilled to be MongoDB's AI App Framework Partner of the Year! LangChain is the #1 choice for developers building GenAI apps. We have immense gratitude for our community of over 2,000 contributors who have helped us shape the LLM application development space, and are…
📣 LangChain Release Notes, Week of 4/29 😍 Improved regression testing experience in LangSmith 🦜🛠️ Hotkeys and mustache support in LangSmith 🔥 New Evaluations content 🕸️ Three new video tutorials using LangGraph 🤝 Community created content! Read it all here:…
🚀Build a RAG system with Llama 3B-Instruct for your PDFs Uses API for partitioning & chunking, FAISS for vector store, huggingface for the model It's a collab notebook so it's easy to get started! Thanks @mariaKhalusova for a great resource! colab.research.google.com/drive/1BJYYyrP…
⚙️How Dosu used LangSmith to achieve a 30% accuracy improvement with no prompt engineering One of the goals of LangSmith is to help teams set up a data flywheel. By capturing LLM outputs alongside user feedback, we can help developers automatically use that feedback to improve…
🧮Regression testing your LLM applications We've made big improvements to the "regression testing" flow in LangSmith to allow you to quickly spot changes in your application's performance: 🟥Automatically highlighting changes ⛪️Filter to changed datapoints 📄Different ways of…
LangSmith Evaluations: RAG Evaluation (Document Retrieval) Evaluations can accelerate LLM app development, but it can be challenging to get started. We've kicked off a new video series focused on evaluations in LangSmith. This is the 14th video in our series focusing…
⚡️Multi-Agent RAG YouTube Workshop⚡️ If there’s anything better than agentic RAG, it’s multi-agent RAG! In this event, we’ll explore the big idea behind “multi-agent” applications. These types of workflows combine multiple independent agents, which can be structured to work…
👨🏫Learn LangChain and Gen AI by Building 6 Projects This is a great course to understand how LangChain can work with a variety of technologies. Watch the full course on the freeCodeCamp.org youTube channel (4-hour watch). youtube.com/watch?v=x0AnCE…
🔴 Python Pulse: LangChain Code and Contributions Fun video from VSCode on contributing to the Python codebase. A good watch if you want to see what it's like to contribute to LangChain (or just OSS in general!) youtube.com/watch?v=x_sgqs…
Always love it when I spot llm-graph-transformer in the wild used to populate @neo4j from unstructured text using @LangChainAI ! Great job Valentina Alto! valentinaalto.medium.com/introducing-gr…
🤖Cal.com based assistant Built by our friends at CerebriumAI, this agent Cal-vin syncs with your Cal.com calendar and uses natural language to determine the best time to schedule meetings github.com/CerebriumAI/ex…
🕷️ ScrapeGraphAI: You Only Scrape Once ScrapeGraphAI is a web scraping python library that uses LLMs to create scraping pipelines for websites, documents and XML files. Just say which information you want to extract and the library will do it for you! github.com/VinciGit00/Scr…
🚀 Perplexica - An AI-powered search engine 🔎 Perplexica is an open-source AI-powered searching tool or an AI-powered search engine that goes deep into the internet to find answers. Built with LangChain, this is a great resource for getting started! github.com/ItzCrazyKns/Pe…
🤖AutoHyDE: Making HyDE Better for Advanced LLM RAG A fun article exploring new and creative RAG techniques Builds upon HyDE to add in keyword generation, clustering, etc Implements a LangChain Embedder which makes it easy to try out in your pipeline towardsdatascience.com/autohyde-makin…
My full, 1-hour tutorial on how to build a RAG application from scratch. Python + @LangChainAI + @OpenAI
💬"LangChain Tool Calling feature just changed everything" We recently added a common interface for tool calling across model providers This makes it easy to build agents that work across models Watch @EdenEmarco177 explain why this is a big deal youtube.com/watch?v=dj8Yqi…
💃 Upstage integration package 🤝 @upstageai has released their `langchain-upstage` integration package, including their Solar chat model, embedding model, a task-specific groundedness check model, and a layout analysis document loader. Check them out here:…
🤝 Optimizing vector retrieval with advanced graph-based metadata techniques using LangChain and Neo4j 🤝 Text embeddings and vector similarity search help us find documents by understanding their meanings and how similar they are to each other. However, text embeddings aren’t…
Ben Tossell @bentossell
139K Followers 697 Following twin dad || learn how to use ai for work - https://t.co/iLpIJT2Vlg || investing in AI cos - bens bites fund || founder of makerpad (acq by zapier '21)Jay Hack @mathemagic1an
37K Followers 3K Following Founder/CEO @codegen. Tweets about AI, computing, and their impacts on society. Previously did startups, @palantir, @stanford. Not a pseudonym.Jim Fan @DrJimFan
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84K Followers 901 Following Covering the latest in AI R&D • ML Engineer • Ex-Mila researcher • MIT Lecturer • Building AlphaSignal, a technical newsletter read by 180,000+ ML experts.Sharif Shameem @sharifshameem
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46K Followers 5K Following Busy inventing the shipwreck. @Penn. Past: @johnshopkins, @UCSC, @Amazon, @Twitter ||Art: #NLProc, Vision, Speech, #DeepLearning || Life: 道元, improv, running 🌈Jeremy Howard @jeremyphoward
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54K Followers 413 Following @LangChainAI, previously @robusthq @kensho MLOps ∪ Generative AI ∪ sports analyticsclem 🤗 @ClementDelangue
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3.5M Followers 0 Following OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. We’re hiring: https://t.co/dJGr6LgzPAAlways love it when I spot llm-graph-transformer in the wild used to populate @neo4j from unstructured text using @LangChainAI ! Great job Valentina Alto! valentinaalto.medium.com/introducing-gr…
My full, 1-hour tutorial on how to build a RAG application from scratch. Python + @LangChainAI + @OpenAI
There are many ways to use Large-Language Models in your projects. But this comes with certain challenges - like long-running calls & handling natural language input. Here, @Hacubu explains how the LangChain framework can help you build apps with LLMs. freecodecamp.org/news/beginners…
After many requests you can now use Firecrawl 🔥 in @LangChainAI JS Use it as a document loader to quickly crawl websites and get clean markdown. Boost your RAG evals today. Thank you @BraceSproul and @Hacubu!
🚦🐘 Neon Postgres Vectorstore 🚦🐘 @neondatabase has awesome “serverless” Postgres scaling capabilities. You can now use them in RAG pipelines in @LangChainAI 🦜🔗 JS/TS as a vectorstore! Install the latest community package to try it. h/t @ananis25 js.langchain.com/docs/integrati…
@LangChainAI LangSmith is extremely underrated. Until you build LLM's in production does it's beauty & utility emerge!
Local RAG Explained with Unstructured and LangChain Complete video: youtu.be/watch?v=7ru0oj… Code: github.com/katanaml/sparr… In this tutorial, I do a code walkthrough and demonstrate how to implement the RAG pipeline using Unstructured, LangChain, and Pydantic for processing…
If the rise of LLMs caught you by surprise, here's your chance to get a preview of what's likely to be the next monumental jump in AI capabilities: LLM-backed agents that use software tools In this video, I'll walk you through the concepts and code of building an LLM-backed…
Dialoqbase v1.8.0 has been released with huge improvements and features. Here is an example using the llama3 model via .@FireworksAI_HQ API to chat on a GitHub repo. Powered by @LangChainAI
How we built it: WikiChat, a RAG chatbot based on trending Wikipedia entries. Check out technical blog to see how we leveraged DataStax Astra DB, @LangChainAI, and @vercel. #AIChatbot #RetrievalAugmentedGeneration #VectorDB dtsx.io/3HreGU6
Have you ever wanted to use a @LangChainAI Agent, but powered by a model other than OpenAI? That is now possible The new Tool Calling Agent means you can power your agents using - @AnthropicAI - @MistralAI - @FireworksAI_HQ - Vertex AI with support for others like @cohere…
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⚡️LangSmith Webhooks w/ Modal LangSmith automations help you build a data flywheel by taking actions on data. By default you can move data to datasets or annotation queue With @modal_labs you can set up a webhook to perform arbitrary actions docs.smith.langchain.com/monitoring/faq…
👨🏼🔬experimenting with ai rendered ui
Running Llama 3 on @GroqInc is extremely fast 🤯 So fast that together with Firecrawl you can scrape an entire website, feed it to Llama 3 and have a response in just a few seconds. Build a 'Chat with your website' app with @GroqInc @LangChainAI @ollama and Firecrawl 👇
We're excited to share that we've partnered with @LangChainAI & LangSmith to offer LLM evaluation services including incorporating user feedback to improve LLM systems. Learn how AI teams can fully harness LangSmith and Labelbox to offer enterprise-grade LLM monitoring, human…
Want to try Llama 3 with @LangChainAI.js 🦜🔗? The 8b model is available on @Cloudflare WorkersAI! Or, if you're GPU rich, pull and run it locally with @ollama! 🌤️ Cloudflare docs: js.langchain.com/docs/integrati… Blog: blog.cloudflare.com/meta-llama-3-a… 🦙 Ollama docs: js.langchain.com/docs/integrati…
✒️Logs for automations in LangSmith Automations help you get a data flywheel going. Automatically move data from production logs to an annotation queue or a dataset With logs, you can now see historical runs of these automations 📄Docs: docs.smith.langchain.com/monitoring/faq…
✨ April 24 is VS Code Day, where @rishabincloud will present the session, 👉 "LangChain Examples with Azure OpenAI Service + VS Code" 🎉 Sign up for VS Code Day here aka.ms/vscodedayx #Microsoft #Coding #Programming #VSCode
You don't wanna miss this! @LangChainAI + @Azure AI 🔥
✨ April 24 is VS Code Day, where @rishabincloud will present the session, 👉 "LangChain Examples with Azure OpenAI Service + VS Code" 🎉 Sign up for VS Code Day here aka.ms/vscodedayx #Microsoft #Coding #Programming #VSCode