#agentic-rag

Building Workflow Autonomy IV: Your AI Doesn’t Have a Memory. It Has a Desk and an Archive.

In the last instalment, we cracked open the “black box” and watched an agent actually think — or rather, do the thing we casually call…

Designing AI Systems as Composable Capabilities

Connecting predictive analytics, research, market intelligence, tool routing, visualization, and models as reusable capabilities

How I Spent $1,000 of Microsoft’s Money (and Learned RAG)

In my final year of college, I applied for the Microsoft for Startups program using my major project, not expecting much to come of it…

Building Temporal Episodic Agent Memory as a Graph with Graphiti and Neo4j

A client raises a Jira support issue:

RAG: Why and what are Embeddings , How Embedding stored in Vector DB

What are embeddings?

AI Basics: LLM, RAG, MCP and Agentic AI Explained in simple words

AI has turned into an acronym soup — LLM, GenAI, RAG, MCP, Agentic AI — and most people nod along without really knowing where one ends and…

Building a PDF Q&A Pipeline with Azure AI and Redis Vector Search

Organizations sit on huge volumes of unstructured content — PDFs like fee schedules, disclosures, contracts, and policy documents — that…

Architecting a Multi-Agent AI Travel Planner on AWS: Integrating Live Flights, Grounded Hotels ,RAG…

Travel planning is a multi-dimensional puzzle. To craft a perfect itinerary, one must cross-reference flight schedules, lodging…

[In Depth] When “True” Has a Timestamp: Temporal Context Graphs for Enterprise Agent Memory

Why valid-time modeling — not better vector search — is what stops your agents from confidently acting on stale facts.

The Hybrid Trick: Why a Fine-Tuned Classifier and an LLM Beat Either Alone

Injecting a classifier’s predictions into an agentic LLM as verifiable priors bought another 5% — after averaging their outputs made things…

Building a Grounded RAG Agent on Azure AI Search and Azure AI Foundry

Introduction

Building Production-Ready Agentic RAG Systems on Microsoft Azure

Large language models have become remarkably capable, but many enterprise AI projects still struggle, not because of the model, but because…

RAG Explained Simply: Why LLMs Need External Knowledge

A practical guide to Retrieval-Augmented Generation (RAG), fine-tuning trade-offs, and building grounded LLM apps with LangChain.

I Built a Hybrid RAG App That Talks to My PDF — and Knows When to Say “I Don’t Know”

Imagine you upload an insurance policy PDF and ask:

Knowledge Graphs & Graph RAG, Hands-On

A work-along tutorial, continuing the series (RAG → Agents → LangChain → Vector DBs → this). Your vector RAG retrieves similar chunks. But…

The Production Shape of a LlamaIndex RAG Agent

The agent demo that worries me most is the one where the model can call tools but nobody owns the tool boundary.

Beyond the Vector DB: Grounded, Auditable Agents with Amazon Bedrock AgentCore and OKF

The default architecture for enterprise RAG is predictable: chunk the text, embed it, sync the vectors to a managed store, and do a…

The Security Conversation Nobody Wants to Have Before the Demo

A colleague once showed me a support agent he’d wired up over a weekend — RAG over the company’s help docs, a couple of MCP tools bolted on…

Context Engineering for AI Agents

Here’s a counterintuitive fact: give a model a 1-million-token context window, and it will often start losing the plot well before 300,000…

Part 1: Why Your AI Agent Architecture Won’t Scale

Part 1 of 5 in the series “Building Production-Grade AI Agents: From Prototype to Scale”

RAG vs. Graph RAG: The Great Knowledge Retrieval Debate

Or: Why your RAG system needs a map, not just a compass

Agentic RAG in Edge Applications

On-Device LLMs, RAG, and the Tools to Make It All Happen

Hybrid Retrieval in Practice

How We Built a Knowledge Graph for Barley

40% of Agentic AI Projects Will Be Cancelled by 2027. The Reason Is Not What You Think.

Agentic AI is the most hyped category in enterprise software right now. It is also failing in production at rates that are starting to…

Building a Production RAG Agent with LangChain 1.3.4 and FastAPI

Introduction

Your Engineering Team Is Having the Wrong Conversation About AI. And You’re Not in the Room.

There’s a meeting that happens in almost every product team the moment they decide to build something with AI.

RAG vs Fine-Tuning for Enterprise AI: How to Think About It Like an Architect, Not a Shopper

There’s a subtle trap a lot of teams fall into when they start exploring generative AI for business use: they treat the technology choice…

RAG vs Fine-Tuning for Enterprise AI: Which Approach Actually Makes Sense?

If you’ve spent any time in a product meeting or a Slack thread about deploying large language models at work, you’ve probably run into…

Your AI Agent Is Confidently Wrong. Here Is Why Nobody Is Talking About the Real Fix.

We spent 2025 arguing about whether AI would take our jobs.

A production RAG pipeline for real-world PDFs: structural retrieval, typed answers, cited lines

The four bricks, run end-to-end on a real 45-page car-insurance policy. One surprising coverage question, answered with a number and the…

I built a secure AI search system for enterprise knowledge (and here’s what I learned)

Every company thinks they have a search problem.

The Keyword Search : a detailed look

Keyword search retrieves documents based on word overlap with the user prompt, operating on the principle that documents with a higher…

MinerU: The Open Source Document Parsing Engine That Fixes the Foundation of Every Broken RAG…

There is a common pattern in teams that build retrieval-augmented generation systems and find that their answers are inconsistent…

Your SaaS Database Is Becoming an Agent Runtime

There is a growing gap between agents that sound helpful and agents that can work safely inside a SaaS product. The difference is usually…

Beyond Vectors: Is Vectorless RAG the Right Choice for You

Retrieval-Augmented Generation (RAG) has become the cornerstone of enterprise AI applications, enabling LLMs to ground their responses in…

AgenticRAG: Letting LLMs Hunt for Evidence, Not Just Answer

The most interesting questions at work are usually the ones that make you open five tabs, skim three documents, and rethink your search…

What is Tensor along with RAG?

Hi Folks, Lets start with understanding about what is "Tensor" 🤔 ? that is some DeepShift😝.

Building a Voice AI Showcase with Agora ConvoAI + Red Hat OpenShift AI (Milvus) for RAG

Build a multi-use-case voice AI application that combines Agora’s real-time communication with Milvus on Red Hat OpenShift AI for…

Why AI is Human? Meaning as Geometry: How Embeddings Work

Close your eyes and think of the word “dog.”

Not All Search Is the Same. Here Are the 4 Types You Need to Know

Most developers pick one search method and stick with it. But the right choice depends entirely on what you are building. Here is a…

Building a Safe LLM Evaluation Pipeline for Health AI

Contextual Compression for RAG: Summarize and Trim Retrieved Chunks Before They Reach the Model

Last week we transformed user queries so retrieval finds what users actually need. This week we optimize the other side, compressing what…

Open Knowledge Format (OKF): Why Google Thinks AI Needs a Git for Knowledge

Most organizations have no shortage of data.

Your AI Agent Works. Now Make It Fast and Trustworthy.

When most teams start building AI products, they focus on the obvious things: choosing a model, improving prompts, experimenting with RAG…

Introducing brinicle: disk-first search for vectors, hybrid retrieval, and autocomplete

A brinicle is the spike of ice that forms under sea ice and grows downward, freezing a path toward the seafloor. We liked the image enough…

Hindsight Teaches AI Agents to Learn From Experience, Not Just Remember What Was Said

How to Use Oracle Deep Data Security with Spring Boot and Spring AI

Building an Agentic AI Calling System with Tata Smartflo, Twilio, and Exotel

Hey everyone! I know implementing an agentic AI calling system can be frustrating when working with telephonic providers. Today, I’ll walk…

I Built a 4-Phase Self-Healing RAG That Improved Answer Relevance by 8 Points Over Naive RAG…

Naive RAG failed me. A perfectly valid user query returned completely wrong chunks — not because the data wasn’t there, but because the…

Will Agentic AI Take Your Job? The Real Answer Is Worse Than “Yes” — and Better Than “No”

Been a while since I posted. But I couldn’t stop thinking about this one, so here we are.