Blogs

Modern AI applications from chatbots and recommendation systems to image search rely on searching high‑dimensional vectors. A well‑chosen index makes these searches fast and memory‑efficient, but there are many options. This guide answers a simple yet important question: which vector search index should you use? We start with a gentle introduction to vector search and indexing, then explore the major index types: Hierarchical Navigable Small World (HNSW), Inverted File (IVF),

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

There's a lot of hype around AI agents today, let us decipher the hype from the reality

Do Typos in your prompts matter? More than you think!

This article compares a few prominent Open source OCR libraries for document extraction for your AI use cases.

Run Deepseek R1 on your laptop in 5 minutes or less

A 5 minute setup guide for Ollama

This is an introduction into our Generative AI accelerators, helping teams develop better production grade applications at a fraction of the time

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.

LLM interoperability isn't just swapping APIs—each model has unique quirks. True agility demands rigorous testing, not plug-and-play hype.

Transform raw PDFs into structured Markdown to boost LLM accuracy in extracting actionable data from complex, tabular documents.

LLMs revolutionize coding & IT projects—faster dev, better debugging, smarter docs. Harness AI while mitigating risks!

Hybrid chatbots blend structured workflows with AI-powered agents, delivering intelligent and scalable conversations for businesses.

Comparing DeepSeek R1, Gemini 2.0 Flash, Gemini 1.5 Pro, o1, and o1-mini on coding challenges—who excels in reasoning and optimization?

Boost B2B sales with AI-powered call analysis. Discover insights on metrics, sentiment, and features to enhance strategies and conversions.

AWS’s Amazon Nova models and enhanced Bedrock Guardrails deliver cost-effective, high-performance genAI with responsible, secure deployment.

Which vector database should you choose when you're creating your application? Here are some comparisons for you to understand better

How does OpenAI implement structured outputs in it's latest model? Read more to find out

Earlier this month a new research paper was released, which extensively tested capabilities of Large Language Models (LLMs) at a...

Data pipeline Creating a pipeline that requires sending some events to be processed in the background keeping scalability in mind is one of the key requirements for building applications today. In order to process heavy/time consuming jobs in your current application it’s generally better to separate it from your core application, and one way to achieve is to use a pub/sub architecture. The idea here is as follows: Maintain a queue of messages A publisher pushes messages to t