Excited for our friends at @zapier on their Zapier Central release. Now everyone can have an AI bot builder!
@langchain
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LangChain Updates: Data Extraction and Self-Corrective AI Assistant
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LangChain Release Notes, week of 3/4 Extraction Use Case – more support for extracting structured data from unstructured text Lots of open source LangGraph improvements releases: building a self-corrective coding assistant, loading documents with
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LangGraph Quality-of-Life Improvements for Agent Development
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LangGraph Updates 3 big quality-of-life improvements to LangGraph over the past few weeks: Automatic visualization of the created graph
Conditional entry points
Prebuilt Tool Calling Executor What do these mean? Automatic rendering of the created graph This was a -
New Extraction Guides for Structured Data from Unstructured Text
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New extraction guides Reliably extracting structured data from unstructured text is one of the killer use-cases for LLMs. It's a fantastic way to bridge the gap between LLMs and traditional APIs and systems. We've put a lot of work on this lately, including an open
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LangChain Course: Functions, Tools and Agents Now Available
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Check out our latest course with @DeepLearningAI on @coursera – Functions, Tools and Agents with LangChain. The landscape of LLMs and the libraries that support them has evolved rapidly in recent months. The course is designed to keep you ahead of these changes! You’ll
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LangChain Hiring for LLM Application Development Platform
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We're hiring! We've built a great product on a small but mighty team, reaching 5M+ monthly downloads, 50K+ apps powered, and 2K+ contributors to our open source project. We've also recently GA launched LangSmith – our solution for LLM application development, monitoring, and
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LangChain Launches Data Extraction Service for Unstructured Sources
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Today we’re excited to announce our newest OSS use-case accelerant: an extraction service. LLMs are a powerful tool for extracting structured data from unstructured sources. We've improved our support for data extraction in the open source LangChain library over the past
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AI21 Labs Contextual Answers API Integration with LangChain
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Task-Specific Model for Contextual Answers @AI21Labs has integrated their contextual answers API for grounded answers in text or a document. You can use it from our `langchain-ai21` integration today! https://
python.langchain.com/docs/integrati
ons/llms/ai21#usage
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Query Analysis Documentation Now Available for JavaScript TypeScript
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A much requested set of use case docs now available in JS/TS! Checkout the query analysis docs today:
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LangChain Text Splitters Now Available as Standalone Package
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LangChain Text Splitters `pip install langchain-text-splitters` One of the most popular parts of LangChain is our text splitters – simple yet necessary for any RAG app If you want to use them without adding all of `langchain` as a dependency – you now can!