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Which Vector Search Should I Use? A Practical Guide
Modern AI applications from chatbots and recommendation systems to image search rely on searching high‑dimensional vectors. A well‑chosen...
Varad Khonde
8 min read
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5 Learnings from developing AI agents in production
Trying to deploy your agent to production? Here are 5 detailed learnings from the Newtuple team on what works, what doesn't, and practical tips based on our experience
Dhiraj Nambiar
14 min read
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AI Agents: Bridging the Gap Between Hype and Reality
There's a lot of hype around AI agents today, let us decipher the hype from the reality

Newtuple Marketing Team
5 min read
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The Hidden Cost of Bad Prompts: Why Typos and Sloppy Formatting Sabotage Your Business AI
Do Typos in your prompts matter? More than you think!

Newtuple Marketing Team
3 min read
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Finance-Friendly OCR: How Docling, Dolphin & Others Tackle Wall Street PDFs
This article compares a few prominent Open source OCR libraries for document extraction for your AI use cases.
Shikhar Jha
5 min read
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Run Deepseek R1 on your laptop in 5 minutes or less
Run Deepseek R1 on your laptop in 5 minutes or less
Rahul Kumar
1 min read
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How to install and use ollama for hosting LLMs locally
A 5 minute setup guide for Ollama
Shikhar Jha
2 min read
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Introducing our Generative AI Accelerators
This is an introduction into our Generative AI accelerators, helping teams develop better production grade applications at a fraction of the time
Dhiraj Nambiar
3 min read
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From Prototype to Production: Best Practices for Building Production‑Ready AI Systems
From Markdown inputs to load-balanced LLM endpoints, this guide walks through key lessons learned while taking a financial AI prototype into production. Learn how structured prompts, JSON validation, exponential backoff, batching, observability tools, and smart frameworks like LiteLLM can transform your system into a scalable, resilient AI service.
Rahul Kumar
11 min read
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How to Tackle Model Interoperability
LLM interoperability isn't just swapping APIs—each model has unique quirks. True agility demands rigorous testing, not plug-and-play hype.
Dhiraj Nambiar
8 min read
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Lost in Translation? Boosting Accuracy in PDF-Based Data Extraction using LLMs
Transform raw PDFs into structured Markdown to boost LLM accuracy in extracting actionable data from complex, tabular documents.

Aniket Kulkarni
3 min read
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How AI-Driven Software Development is Transforming the Coding and IT Industries
LLMs revolutionize coding & IT projects—faster dev, better debugging, smarter docs. Harness AI while mitigating risks!
Sameer Kankute
4 min read
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Bridging the Gap: How Hybrid Chatbots are Redefining Intelligent Conversations
Hybrid chatbots blend structured workflows with AI-powered agents, delivering intelligent and scalable conversations for businesses.
Shivkumar Salunkhe
7 min read
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Comparing Reasoning models: DeepSeek vs Gemini vs OAI
Comparing DeepSeek R1, Gemini 2.0 Flash, Gemini 1.5 Pro, o1, and o1-mini on coding challenges—who excels in reasoning and optimization?
Praharshita Kulkarni
5 min read
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AI Meets Sales: Analyzing B2B Sales Calls with AI
Boost B2B sales with AI-powered call analysis. Discover insights on metrics, sentiment, and features to enhance strategies and conversions.
Rahul Dalvi
4 min read
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AWS Expands Its AI Frontier: Introducing Amazon Nova and Enhanced Bedrock Guardrails
AWS’s Amazon Nova models and enhanced Bedrock Guardrails deliver cost-effective, high-performance genAI with responsible, secure deployment.
Praharshita Kulkarni
5 min read
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Speed and Scalability in Vector Search
Which vector database should you choose when you're creating your application? Here are some comparisons for you to understand better
Sameer Kankute
6 min read
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How OpenAI implements Structured Outputs
How does OpenAI implement structured outputs in it's latest model? Read more to find out
Sameer Kankute
3 min read
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Temporal accuracy and LLMs
Earlier this month a new research paper was released, which extensively tested capabilities of Large Language Models (LLMs) at a...
Dhiraj Nambiar
5 min read
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Master the Art of Data Streamlining with Pub/Sub Pipelines
Creating a pipeline that requires sending some events to be processed in the background keeping scalability in mind is one of the key...
Rahul Kumar
2 min read
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