We are excited to partner with @Rakuten to deliver premium products for its business clients and employees. General Manager of AI for Business at Rakuten, Yusuke Kaji says, “LangSmith allows us to get things done scientifically. At a large company, usually multiple teams develop
@langchain
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Chat LangChain.js: Open-Source RAG Chatbot Framework
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Chat LangChain.js Have questions about LangChain.js? Or looking to build your own RAG chatbot in JavaScript? We've open-sourced a fully @nextjs version of Chat LangChain that ingests and indexes the LangChain.js docs! The live version supports GPT 3.5 + @MistralAI
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LangChain Chat JavaScript Source Code Repository
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See the source code here: https://
github.com/langchain-ai/c
hat-langchainjs
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Agents and Chains Support Full Prompt Customization
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you absolutely can! all agents and chains support customizing the prompt. completely agree on the importance of customization
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Query Translation Multi-Query Techniques for RAG Systems
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RAG From Scratch: Query Translation (Multi-Query) Our RAG From Scratch video series walks through impt RAG concepts in short / focused videos w/ code. Over the next few days we'll release videos focused on Query Translation, starting with Multi-Query. Problem: User queries
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Dataherald: Open-Source Leader in Text-to-SQL Technology
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How Dataherald Makes Natural Language to SQL Easy Text-to-SQL is a HUGE use case, and @DataheraldCo is the open-source leader in the space This is a great look behind the curtains to see what makes it tick. Blog: https://
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OSS Retrieval Agent with LangChain and Mistral AI
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📖 OSS Retrieval Agent for your Documents 🎥
— LangChain (@LangChain) 14 février 2024
Dive into LangChain Founding Engineer @eyfriis 's latest video showcasing a build with the `retrieval-agent-fireworks` template.
Supercharge a @MistralAI (hosted on @FireworksAI_HQ) agent with vectorstore retrieval using @nomic_ai… https://t.co/3dN6Geicn3 pic.twitter.com/LsD2Uk0CLaOSS Retrieval Agent for your Documents Dive into LangChain Founding Engineer @eyfriis 's latest video showcasing a build with the `retrieval-agent-fireworks` template. Supercharge a @MistralAI (hosted on @FireworksAI_HQ
) agent with vectorstore retrieval using @nomic_ai -

LangChain Pinecone Integration Simplifies Vector Database Connections
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LangChain @pinecone Check out the new `langchain-pinecone` integration package, which greatly simplifies connecting to your Pinecone indices! Regardless of if you have a new serverless deployment or an existing pod-based one, connecting your index is now a sea breeze.
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LangGraph Enhances Plan-Execute Agents with Flexible Code Control
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6/ This all extends our previous work on plan-and-execute agents. But now with LangGraph, it's more flexible than ever – you own the code!
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Getting Started with LangGraph: Introduction Video
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5/ New to LangGraph? Check out the intro video to get started:
