Unlock the power of RAG (Retrieval-Augmented Generation) and learn how to build smarter AI apps with LangChain — practical insights, real-world use cases, and hands-on tips with Kim Wee Teh at #FOSSASIASummit2025
Click here https://youtu.be/9X3ljJjAjqo?si=6ofwoOQWOuanoQgq to watch on the FOSSASIA YouTube channel
#RAG #LangChain #LLM #AI #FOSSASIA
Getting started with LangChain
Rerun your failed tests in PyTest Usefulness of Context Managers in Python Testing your Flask App
Latest Edition of My Voyage of Discovery: http://eepurl.com/jbSOOQ
Subscribe for more at: http://eepurl.com/iu6PFU
In questo test, in una SERP di #Google in cui compare #AI Overviews, ho preso i contenuti nelle prime 12 posizioni e ho creato un piccolo #RAG usando #LangChain, #Chroma DB e #GPT4o. Inviandolo la query al RAG, ottengo una risposta simile a quella proposta da AI Overviews. 
Chiaramente Google usa anche query correlate ("fan-out") e il Knowledge Graph per espandere i risultati.
What is an agent?
That’s what Day 3 of Kaggle’s Gen AI Challenge is all about.
An agent is a system that observes its environment, plans actions, uses tools like APIs, functions, or data stores, and acts autonomously to achieve a goal – often over multiple steps (see whitepaper from Google below).
The cognitive architecture of an agent consists of three essential components: a model (like a language model),
tools (like APIs or functions), and
an orchestration layer that coordinates reasoning and action.
You can build such agents using tools like LangChain and LangGraph.
The full whitepaper from course day 3: https://www.kaggle.com/whitepaper-agents
La Grosse Conf 2025 - #LangChain : #OpenSource, compléxité et adaptation permanente
https://blog.octo.com/la-grosse-conf-2025-langchain--opensource-complexite-et-adaptation-permanente
sneak peek: we'll have an #elastic developer event in mountain view in may — single track and just engineering. and I'll make sure to keep it *very* technical: besides developers from #LangChain and #github with more to come, we'll have shay (elasticsearch creator), costin (who most recently worked on JOINs for ES|QL), and dinesh (currently researching on agentic search) from elastic 1/2
Launch LangChain & Langflow on AWS with ease! 
Techlatest.net's step-by-step guide simplifies AI app development in the cloud.
Get your key-pair ready and start building!
For more Details: https://tinyurl.com/mvs7j3zk
Free course: https://tinyurl.com/sy3ztc36
#Langchain #Langflow #AWS #AI #LLM #Techlatest #CloudDeployment #AIDevelopment #AmazonWebServices
Simplify your AI workflow on Azure with our LangChain & Flowise VM. Easy deployment, pre-configured NSG rules, and RDP/SSH access for customization. Remember to change the default password!
For more Details:https://tinyurl.com/sjcdnc3d
Free course: https://tinyurl.com/4zz7p5nb
#LangChain #Flowise #AIDevelopment #LLM #Azure #RDP #SSH #Security
Streamline AI app development on AWS! Launch our LangChain & Flowise solution.
No-code interface & powerful LangChain integration.
Easy deployment, RDP Access.
For more Details:https://tinyurl.com/3urpympf
Free course: https://tinyurl.com/4zz7p5nb
#LangChain #Flowise #NoCode #AI #LLM #AWS #AmazonWebServices
Get LangChain & Flowise running on GCP in minutes!
Our pre-configured VM deploys directly from the GCP Marketplace. Build AI agents and LLM apps with ease.
For more Details: https://tinyurl.com/4zh6cjxe
Free course: https://tinyurl.com/4zz7p5nb
#LangChain #Flowise #LLM #AI #GCP #GoogleCloudPlatform
Accelerate your AI development! Our LangChain & Flowise VM combines the power of LangChain with Flowise's no-code flow creation. Build customized LLM apps & AI agents faster!
For more Details: https://tinyurl.com/26nuau7h
Free course: https://tinyurl.com/4zz7p5nb
#LangChain #Flowise #NoCode #AI #LLM #MachineLearning
Maximizing AI Agent Application Development Efficiency with LangChain
https://developers.cyberagent.co.jp/blog/archives/54484/
I keep being told that #LangChain isn't a road I should go down. Any other suggestions from folks, as to paths / frameworks I should look at?
I'm constantly on the lookout for fascinating examples of #AgenticAI in action. Here's a compelling story from Microsoft for #Startups Pegasus partner, #LangChain
I've just published the second part of my guide on setting up an AI/LLM stack in Haiku. If you've been curious about running AI models on alternative operating systems, this one's for you! https://blog.nexus6.me/new%20adventures%20in%20ai/Setup-an-environment-for-AI-in-Haiku-Part-2/
#HaikuOS #langchain #openai #llamacpp
I've just published the first part of my guide on setting up an AI/LLM stack in Haiku. If you've been curious about running AI models on alternative operating systems, this one's for you! https://blog.nexus6.me/new%20adventures%20in%20ai/Setup-an-environment-for-AI-in-Haiku-Part-1/
#HaikuOS #langchain #openai #llamacpp
@odissei_soda using the great new #rstats package #ellmer and #python package #langchain
I'll post the url for the materials (slides and code notebooks) soon
Speaker Update! Carly Richmond replaces Anayo Samson Oleru at #Appdevcon with "Grounding RAG Applications with JavaScript, Langchain & Elasticsearch". 
Check the schedule → https://appdevcon.nl/schedule-2025/
Huge Road Map
My 2025 AI Engineer Roadmap List CyprianTinasheAarons ・ Dec 16 '24 #javascript #ai #rag #langchain source
https://devnews.tech/huge-road-map/?utm_source=mastodon&utm_medium=jetpack_social
CyberAgent Developers Bl 
