Practical Hands-on with Langchain Expression Language (LCEL) Good article by Anurag Misrah covering LCEL and some practical things you can do with it: 1) Run Two Chains in parallel 2) Insert input dynamically in Runtime
3) Dynamic Routing & more! https://
medium.com/@anuragmishra_
27746/practical-hands-on-with-langchain-expression-language-lcel-for-building-langchain-agent-chain-2a9364dc4ca3
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@langchain
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Practical LangChain Expression Language Guide for AI Chains
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Building Corrective RAG with Open Source Local LLMs
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Building Corrective RAG from scratch w/ open source and fully local LLMs (Video) Building LLM apps with more complex logical flows can be challenging with smaller, local LLMs. Graphs offer one way to tackle this, laying out the logic flow as a graph and using local LLMs for
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RAG-Fusion Query Translation Technique Explained
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RAG From Scratch: Query Translation (RAG-Fusion) Our RAG From Scratch video series walks through impt RAG concepts in short / focused videos w/ code. This is the second in our videos on Query Translation, focused on RAG-Fusion by @Raudaschl
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LangSmith General Availability Launch on Product Hunt
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Give us some love on Product Hunt for our GA launch of LangSmith today! Link here: https://
producthunt.com/posts/langsmit
h-general-availability?bc=1
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LangSmith Platform Overview for LLM Application Development
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Check out our in-depth platform overview of LangSmith if you've missed our webinar today: https://
youtube.com/watch?v=3wAON0
Lqviw
… LangSmith is an all-in-one developer platform for every step of the LLM-powered application lifecycle – whether you’re building with LangChain or not. LangSmith -
LangSmith GA Launch Sequoia Series A Funding New Brand
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Today, we’re thrilled to announce – The general availability of LangSmith (no more waitlist!)
– Our Series A fundraise led by @sequoia – Our beautiful new homepage and brand We've worked hard over the past few months to add requested features and ensure LangSmith can -
Rakuten Partners with LangSmith for Enterprise AI Solutions
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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
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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