Lakshman sha

[Sumanth @Sumanth_077]

Introducing DeepClaude - A Free API and chat interface that combines DeepSeek R1's Chain-of-Thought (CoT) reasoning with Anthropic's Claude models.

100% Open Source

[Kevin Kern @kevinkern]

This is the roadmap prompt I use to build apps with @cursor_ai or @boltdotnew

https://t.co/LTHNP711li

[QuerySurge @QuerySurge]

QuerySurge is the smart data testing solution that leverages Gen AI to automate the ETL testing of data warehouses, big data lakes, BI reports and enterprise apps with full DevOps functionality for continuous testing. #ETLtesting #DevOps #DataOps #TestAutomation #AI

[Shubham Saboo @Saboo_Shubham_]

LLMOps platform for building production LLM apps and AI Agents.

Prompt playground, prompt management, evaluation, and observability all in one place.

100% Opensource.

[Akshay 🚀 @akshay_pachaar]

Traditional vs. Agentic RAG, clearly explained!

The future is Agentic RAG, and it's because a traditional RAG setup has some major limitations...👇

1) Retrieve once and generate once.
↳ This means if the retrieved context isn't enough or correct, the LLM can not dynamically search for more information.

2) Inability to reason through complex queries.
↳ If a query requires multiple retrieval steps or CoT (chain of thought), traditional RAG falls short.

3) Limited adaptability
↳ The system can't modify its strategy based on the problem at hand. Eg. Whether to do vector search, web search or call an API.

Agentic RAG addresses these issues.

The core idea is to introduce agentic behaviors at each stage of RAG.

Agents can actively think through tasks—planning, adapting, and iterating to find the best solution, rather than just following a set of instructions, and LLMs enable this.

The image below illustrates the workflow of an agentic RAG. Refer to it as you continue reading...

Steps 1-2) The user inputs a query, and an agent refines it (corrects spelling, simplifies for embedding, etc.)

Step 3) Another agent decides if more details are needed.
↳ Step 4) If not, the refined query is sent to the LLM.
↳ Steps 5-8) If yes, the agent selects the relevant sources (vector database, tools/APIs, internet), retrieves context, and sends it to the LLM.

Step 9) A response is generated.

Step 10) A final agent checks if the answer is relevant.
↳ Step 11) If yes, return the response.
↳ Step 12) If no, restart from Step 1. This process repeats until the system provides an acceptable answer or concedes it cannot respond.

This makes the RAG much more dynamic and robust.

However, it's important to note that building RAG systems often comes down to design preferences and choices.

The diagram below is just one of many blueprints an agentic RAG system may have.

You can adapt it to suit your specific use case.

Enjoyed this? You should also my RAG series! From building and optimizing RAG apps to evaluating performance and crafting agentic & multi-modal systems—it's all here.

Link in the next tweet!
_____
Find me → @akshay_pachaar ✔️
For more insights and tutorials on AI and Machine Learning!

[TechXConf @TechXConf]

🤖 Top AI Statistics 🧠

Get your TechXConf2024 passes now!

📅 Event Dates: November 15-16, 2024
📍 Location: Chennai Trade Centre, Chennai

🔗 Register Here: https://t.co/CZiIcKlUhw

#techxconf #axconf #ArtificialIntelligence #MachineLearning #DeepLearning #AIInnovation

[TechXConf @TechXConf]

🚀 Exciting News! AZConf is now TechXConf! 🎉

📅16-17 Nov 2024
📍Chennai Trade Centre, Tamil Nadu

🌟 4000+ Attendees
🏢 Bigger Venue
🤖 Focus on AI Technologies

Get ready for an unforgettable experience! Stay tuned for more updates.

#TechXConf #TechXConf2024 @karthik3030

[Christian Esmann @chrisesmann]

I just launched an all-in-one template for cross-platform development, based on the stack I use myself everyday.
Expo, NextJS, TypeScript, Tailwind, Firebase, AppsFlyer, Authentication, Analytics, In-App Purchases, Stripe and a lot more, setup by defaultI just launched an all-in-one template for cross-platform development, based on the stack I use myself everyday.
Expo, NextJS, TypeScript, Tailwind, Firebase, AppsFlyer, Authentication, Analytics, In-App Purchases, Stripe and a lot more, setup by defaultI just launched an all-in-one template for cross-platform development, based on the stack I use myself everyday.
Expo, NextJS, TypeScript, Tailwind, Firebase, AppsFlyer, Authentication, Analytics, In-App Purchases, Stripe and a lot more, setup by defaultI just launched an all-in-one template for cross-platform development, based on the stack I use myself everyday.
Expo, NextJS, TypeScript, Tailwind, Firebase, AppsFlyer, Authentication, Analytics, In-App Purchases, Stripe and a lot more, setup by default.

[Angular @angular]

In Angular now you can get references to components and HTML elements as Signals ✨

Our new viewChildren / contentChildren are available in developer preview - just read the result within an effect to get updates when the view changes

📚 https://t.co/oqvkum2gdX

[XMonkeys360🐒 @XMonkeys360]

Exciting news! 🚀 Chennai joins Global Azure 2024 on April 20th at Ideas2IT Technologies. An exclusive event with 15+ expert speakers, 15+ sessions, and hands-on workshops!

Don't miss out! Register now: https://t.co/skIzeA5Vk2

#GlobalAzure2024 #TechInnovation #ChennaiTechEvent

[AIADMK IT WING @AIADMKITWINGOFL]

சிறுபான்மையினர் நலனுக்காக என்றென்றும் அஇஅதிமுக துணைநிற்கும்!

[Jakub Chodounsky @jakubgarfield]

Leadership in Tech is a free carefully curated weekly newsletter for CTOs, engineering managers and senior engineers to become better leaders.

[Azure Developer Community TN @AzDevTamilnadu]

We are happy to share that our Prompt Engineering Day @Microsoft Chennai was a resounding success!
A big thank you to all the attendees, speakers @jana_selvaraj @NavaneethhGopal @cr_bhargavi & volunteers who made this event possible
@VivekRaja007 @Azure @IngramMicroInc

[TechXConf @TechXConf]

🚀 Join @jayyanar1987 to unlock the potential of "Mastering Generative AI: Practical Insights with Amazon SageMaker JumpStart, Elastic, and Hugging Face LLMs" at the AZ-Cloud & AI Conference 2023.

https://t.co/vvhUVRYtjd

#AIConference #GenerativeAI #ChennaiTech #AZConf2023

[TechXConf @TechXConf]

Join @ramasubramanig to explore "Data-Driven Healthcare: The Role of Data Analytics and AI in Improving Health Outcomes and Quality of Care" at the AZ-Cloud & AI Conference 2023, happening on November 17-18 at IIT Madras Research Park, Chennai.

https://t.co/8gyXDnGcAQ

#AZConf

[TechXConf @TechXConf]

🌟 We are thrilled to announce Securra Health as our Silver Partner for #AZConf2023! 🌟

On behalf of the @AZConfDev team, we extend a warm welcome to @SecurraHealth. We're excited to have you on board as our Silver Partner for the conference

https://t.co/vvhUVRYtjd

#AZConfDev

[TechXConf @TechXConf]

Exciting Announcement! 🚀

We're thrilled to introduce our valued community partner, @gdgchennai

Together, we're shaping the future of cloud and AI. Get ready for a transformative conference experience! 💻🌟

https://t.co/vvhUVRYtjd

#AZConf2023 #GDGChennai #AZConf2023 #Cloud

[TechXConf @TechXConf]

🎉 Exciting News! 🎉

We take immense pride in announcing our community partner, the @wtmchennai ! 🤝

Together, we're championing diversity in tech and innovation. Get ready for an incredible conference experience! 💫

https://t.co/vvhUVRYtjd

#CommunityPartners #AZConf2023

[TechXConf @TechXConf]

🎤 Speaker Announcement! 🎤

We are excited to announce that @_bhuvanaguna will be our speaker at AZConf 2023, Asia's Largest Cloud and AI Conference! Join us on November 17-18, 2023, at IIT Madras Research Park in Chennai.

Register Now: https://t.co/8gyXDnGcAQ

#AZConf2023

[TechXConf @TechXConf]

🎤 Speaker Announcement! 🎤

We are excited to announce that @zachjonesnoel will be our speaker at AZConf 2023, Asia's Largest Cloud and AI Conference! Join us on November 17-18, 2023, at IIT Madras Research Park in Chennai.

Register Now: https://t.co/8gyXDnGcAQ

#AZConf2023