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
@langchain
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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!
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LangChain Deepens Google Cloud Database Integration for Developers
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We're thrilled to announce LangChain now has deeper integration with Google Cloud databases. Developers now have access to a suite of open source LangChain packages that are more flexible and customizable when working with Google Cloud's database portfolio. Read more below!
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Claude-3 Models Add Vision Capabilities to LangChain
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Anthropic Multimodal Inputs @AnthropicAI
's state-of-the-art new Claude-3 models can reason about images as well as text! We've added support for this awesome new capability in LangChain, allowing you to create vision-based AI apps. Bump to the latest -
Long Context RAG Design with RAPTOR and Claude 3
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Building long context RAG from scratch with RAPTOR + Claude3 (Video) The rise of long context LLMs + embeddings will change RAG design. Instead of splitting docs + indexing doc chunks, it's feasible to index full docs. But, there is a challenge to flexibly answer lower-level
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Anthropic Releases Tool Calling for Claude-3 Models
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Anthropic Tool Calling We've been hacking away with the impressive new @AnthropicAI Claude-3 models, and shipped an experimental wrapper for consistently structured Pydantic/JSON outputs in both Python and JS! Official tool calling support is on the horizon, but since
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Open Source Libraries Documentation Feedback Initiative
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Don't like our docs? Let us know! We've recently added / buttons to each documentation page for our open source libraries Help us improve our docs by quickly leaving us invaluable feedback!