RAG Evaluation Webinar Last week @WHinthorn added a fantastic cookbook using LangSmith to test RAG systems: https://
github.com/langchain-ai/l
angsmith-cookbook/blob/main/testing-examples/qa-correctness/qa-correctness.ipynb
… Come listen to him talk about this (and more) during our evaluation webinar next week! Register for the webinar here:
@hwchase17
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LangSmith RAG Testing Webinar and Evaluation Cookbook
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Integrating LangChain with Developer Infrastructure and Airplane
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fun read on combining langchain with existing developer infrastructure like @AirplaneDev
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LangSmith Expands JavaScript Cookbook Examples for Developers
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Most of LangSmith cookbook examples has focused on Python so far, but we're going to start adding a lot of them for JS developers! First up – logging feedback in your app
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Fallbacks Now Work for All Chains Implementation
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Fallbacks also works for all chains! Gist showing that here: https://
gist.github.com/hwchase17/26ec
a9f20031c349bd72fdc669c05a1f
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RAGAS Framework for RAG Pipeline Evaluation Webinar
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LangChain "RAG Evaluation" Webinar RAGAS is an open-source evaluation framework for your Retrieval Augmented Generation (RAG) pipelines I'm VERY excited to be doing a webinar with them next week! RAGAS Repo: https://
github.com/explodinggradi
ents/ragas
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LangChain Chat Updates New Pull Request Integration
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always was: https://
github.com/langchain-ai/c
hat-langchain/pull/110
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User Feedback Integration for LangSmith Apps with Streamlit
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Feedback is important for improving your apps! Previously we only had examples of logging thumbs up/thumbs down to LangSmith. We've now added examples of user corrections and comments using @streamlit s/o @OhSynap
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LLMs for Structured Data Extraction and Web Automation
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An underrated aspect of LLMs is using them for structured data extraction Extracting knowledge triplets is a great use case! I gave it our most recent blog post about @MultiON_AI (
https://
blog.langchain.dev/multion-x-lang
chain-powering-next-gen-web-automation-navigation-with-ai/
…) and it came up with the below – how did it do @DivGarg9 ?? -
ChatLangChain Improvements: Benchmarking Retrieval and Agent Methods
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ChatLangChain Improvements We're benchmarking a bunch of retrieval and agent methods for our "chat langchain" app! Interact with the new beta version here: …
https://chat-
langchain-mcan-stanfordedu.vercel.app Expect rapid improvements and everything (data, retrieval algorithms, prompts) to be OSS