LangChain @LangChainAI
⚡ Build context-aware, reasoning applications ⚡ langchain.com Joined November 2022-
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💃 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…
🤖🏆LangGraph: Can Language Models Solve Olympiad Programming? 🤖🏆 Last week, Princeton researchers released the USACO benchmark dataset and showed that a zero-shot GPT-4 agent only passes 8.7% of the questions. We've implemented this paper in LangGraph and created a tutorial…
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!
We're really excited about code interpreters. They're the bicycle of the (LLM) mind 🚲 Come see how to use @e2b_dev's code interpreter with LangChain and bounce ideas with other builders!
We're really excited about code interpreters. They're the bicycle of the (LLM) mind 🚲 Come see how to use @e2b_dev's code interpreter with LangChain and bounce ideas with other builders!
⚡ LangSmith Evaluations: RAG Evaluation (Answer Hallucinations) ⚡ 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 13th video in our series, focusing…
Announcing LangSmith is now a transactable offering in the Azure Marketplace! Over 20k teams love using LangSmith, and now large, security-conscious enterprises can purchase LangSmith as an Azure Container offering. - LangSmith will run in your Azure VPC so no data is shared…
LLM apps involve complex decision flows that produce a ✨ton✨ of data. Understanding that data can be the key to transforming a prototype into a production-ready GenAI app. 🚀 And there's only one database you need to power that understanding - ClickHouse! But don't take our…
🚦🐘 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…
⚡ LangSmith Evaluations: RAG Evaluation (Answer Correctness) ⚡ 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 12th video in our series, focusing on…
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…
💪Empowering Development with FlowTestAI: Bridging APIs and LLMs for Enhanced Testing and Privacy Interacting with APIs is a big use case for LLMs. Excited to highlight a fun blog from @FlowTestAI showing how they built a prod platform for this blog.langchain.dev/empowering-dev…
cool experimentations with generative ui
cool experimentations with generative ui
Ben Tossell @bentossell
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3.4M Followers 0 Following OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. We’re hiring: https://t.co/dJGr6LgzPAThere 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…
░D░A░T░A░F░L░Y░W░H░E░E░L
⚡️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
Many thanks to all of the awesome @LangChainAI 🦜🔗 JS/TS contributors we’ve had this month! ♊ @afirstenberg for adding @GoogleAI Gemini tool calling support 🐞 @da_fant for a bugfix for cases where OpenAI tool calling returns invalid JSON (1/15)
Super excited about this new functionality! Audio/video inputs, paired with Gemini's advanced reasoning capabilities and structured output opens the gates for tons of new extraction use cases! Checkout the short video linked below to see how you can use it in TypeScript:
🎙️📹Audio & Video Structured Extraction with Gemini♊️ Google's Gemini 1.5 Pro officially came out of preview yesterday, with support for audio and video inputs, and they work with function calling! We just released a new short YouTube video outlining how to perform structured…