🔁 Repetitions in LangSmith 🔁

You can now run multiple repetitions of your experiment in LangSmith. This helps smooth out noise from variability introduced by your application or from your LLM-as-a-judge evaluator, so you can build confidence in the results of your experiment.

I just built an Insanely Complex RAG Flow with
LangChain's LangGraph – You Won't Believe How Easy It Is

I've been working on an open source git repo for advanced RAG flows with LangChain 's LangGraph🦜🕸️, heavily inspired by the LangChain Cookbook by Lance Martin and

'ChatGPT: 6 years (Preferred)'
'LangChain: 5 years (Preferred)'
🤦‍♂️
😂

I am proud to share that my free AI psychotherapy app has achieved remarkable results:
• 1.28M+ users on Android
• 10k+ reviews
• LangChain + OpenAI libraries
• 8 minutes average usage time

This achievement shows that hard work and dedication truly pay off.

Seeing such many

langChain Function-callで適切な情報源を選んでくれるか。もう何でもありの世界だな。昨日までは江戸時代に見える

Big news alert! 🚨

No need for complicated learning with LangChain anymoreDify.AI anymore.

Creating LLM apps is super easy now, thanks to Dify.AI

[Save this for later use🔖]

📄Refreshed docs for LangChain v0.2

We've listened to your feedback and made major improvements to our docs. With the release of LangChain v0.2 today, we now have versioned docs, with clearer structure and consolidated content.

Our docs are separated into:
• Tutorials:

work in progress #ruby #langchain .rb integration with shale

🦹Unifying RAG Frameworks: Harnessing the Power of Adaptive Routing, Corrective Fallback, and Self-Correction using Langchain’s LangGraph

Really cool example of advanced RAG using LangGraph to combine

🎉Adaptive RAG
✅Corrective RAG
🤳Self-RAG

ai.gopubby.com/unifying-rag-f…

✂️ Dataset Splits ✂️

With dataset splits, it's now easier to run evaluations on a subset of your dataset in LangSmith. You can tag examples with different split names, edit and add to splits, and filter on your desired criteria.

Splits can come in handy when have a dataset

LLM/大模型时代如何学好 AI？⚡️

1. 试用不同的 LLM：promptingguide.ai/zh
2. 创建一个 AI Agent：langchain.com/agents
3. 创建一个 RAG 系统：github.com/weaviate/Verba
4. 微调一个 LLM：github.com/unslothai/unsl…
5. 进行LLM评测：github.com/microsoft/prom…

动手实践上述内容，欢迎补充！👏🏻

RAG用のOSS、Cognita。こいつも最近流行りのローコードなんですねぇ。内部でLangchain/LlamaIndexを使っているとのこと。
cognita.truefoundry.com

Hiii

I am currently seeking new opportunities!

My areas of expertise include:
1️⃣ Data Analytics (Python, SQL, Excel, Tableau)

2️⃣ Data Science & Machine Learning (SK-Learn, Tensorflow & more)

3️⃣ Generative AI Engineering (LangChain, Hugging face, OpenAI, FastAPI & more)

Lavoisier would have loved Langchain. Too bad he was born 300 years too early smh

🧬🧬 LLM Generated UIs

We've added a series of templates and documentation showing off how to build generative UI applications using LangChain JS/TS & Next.js. These templates include:
- 🌆 generative UI in Next.js
- 🤖 streaming agent events
- 🛠️ streaming tool calls
and more!

皆さんBedrock、もといClaudeしていますか〜？

LangChain + Claude3(Amazon Bedrock)で会話履歴ありRAG（検索拡張生成） の実装に挑戦してたメンバーの記事をご紹介します。
qiita.com/yu-Matsu/items…

OSS 🤝 Gemini. This #GoogleIO technical session is all about connecting gen AI models to the outside world. 🌎🔗

Harness LangChain's flexibility in Vertex AI's Reasoning Engine to unlock the potential of generative AI in your apps.

Watch now! → goo.gle/3ykS1aC

私がやりたそうなこと

Semi-structured RAG
github.com/langchain-ai/l…

🎉 Thrilled to announce that I'm joining the Langflow team!
It's been an exciting journey collaborating with the LangFlow team since the early days of LangFlow (screenshot below from a webinar together on no-code LangChain), and now I'm officially joining the team.