Alain Airom

Alain Airom @aairom

About: Senior Engineer - Ecosystem Engineering - Build Lab 28+ years experience in the IT industry. Always learning!

Location:
France
Joined:
Jul 13, 2020

Alain Airom
articles - 64 total

Vector Databases: their utility and functioning (RAG usage)

A reflection on vector databases and their usage by LLMs, by implementing a rudimentary one! ...

Learn More 0 0Apr 30

Invoice Data Extraction using IBM Granite LLM locally (not from watsonx!)

Adapting Granite use-case to execute locally. Introduction The Granite family of...

Learn More 0 0Apr 28

Writing Code (and much much more…) with watsonx Code Assistant — An update

Experiencing code generation/documentation with “watsonx code assistant”. ...

Learn More 0 0Apr 25

Build a knowledge graph from documents using Docling

First experience of building a knowledge graph from a document using Docling! ...

Learn More 0 0Apr 23

Picture annotation with Docling

Use docling built-in features to make picture annotation. Introduction Picture annotation, a...

Learn More 0 0Apr 22

Building a RAG with Docling and LangChain

Hands-on experience building a RAG with Docling and LangChain. Introduction This...

Learn More 0 0Apr 20

MCP Server/Client and Agent and my unanswered philosophical question!

I wrote my sample MCP server, client and agent… 🤷‍♂️ Introduction Everyday, browsing...

Learn More 0 0Apr 18

Running Docling as an API Server

How to start with “docling serve”! Introduction Docling offers a user-friendly...

Learn More 0 0Apr 17

Steps to deploy Python applications in containers and to Kubernetes clusters for data scientists and ML engineers

Simple guidance for data science and/or ML engineers to help application deployment to containers and...

Learn More 0 0Apr 14

How to import sample data into a Python notebook on watsonx.ai and other questions…

Some tips regarding using notebooks in watsonx.ai studio! Introduction Recently one of...

Learn More 0 0Apr 13

Docling “Enrichment Features”

Using Docling enrichment features! Introduction Docling simplifies document processing,...

Learn More 0 0Apr 13

Visual Grounding from Docling!

My experience testing for a demonstration “Visual Grounding” feature of Docling on Intel CPU. ...

Learn More 0 0Apr 9

Nice open-source UI Tool to interact with kubernetes clusters

My hands-on experience with “Cyclops” to deploy applications on kubernetes clusters. [Image...

Learn More 4 2Apr 7

Processing data with “Data Prep Kit” (part 2)

Using “Data Prep Kit” to embed data in Milvus and query it! This is the part 2 of hands-on experience...

Learn More 0 0Apr 7

Crawling web sites using “Data Prep Kit”

A hands-on exercise using “data-prep-kit” and storing the result as parquet files. ...

Learn More 0 0Apr 4

Using Docling’s OCR features with RapidOCR

Using RapidOCR implementation with custom OCR models. Introduction Docling’s RapidOCR...

Learn More 0 0Apr 3

Building and running AI applications all in one place (prompts, notebooks, agents…); watsonx.ai studio!

If you want to build entreprise ready AI based applications, using different language models,...

Learn More 0 0Apr 2

User authentication caching in FastAPI

Mocking a user authentication with cached bearer token to reduce latencies and enhance end-user...

Learn More 0 1Mar 31

Figure Export from Docling — Exporting PDF to image

Using Docling “Figure Export” capacities. Introduction Among the export set of functionality...

Learn More 1 0Mar 28

Great one!

Introduction to branched RAG IBM...

Learn More 0 0Mar 27

Building your own code assistant! How long does it take?

I made my coding assistant based on the article “Build Your Own AI Coding Assistant in JupyterLab...

Learn More 0 0Mar 26

Using llama-cookbook “Text2SQL” and really impressed!

My experience trying ‘Text2SQL’ recipe from llama-cookbook series! Image from Meta’...

Learn More 0 0Mar 22

Impressive evolution of BeeAI

TL;DR — Introduction Agents 🤖 are coming and they are almost everywhere! IBM research...

Learn More 0 0Mar 21

New Interface to Build Agents in watsonx.ai Studio

The new GUI to build ReAct agents in watsonx.ai Introduction Building agents through a...

Learn More 0 0Mar 20

Using “Docling Parse”!

Extract text, paths and bitmap images with coordinates from programmatic PDFs! ...

Learn More 1 0Mar 19

Docling's new “SmolDocling-256M” Rocks

First impression of testing “SmolDocling-256M-preview” available on Hugging Face. ...

Learn More 0 0Mar 17

Deploying rapidly an enterprise grade Generative AI platform

Using deployable architectures on IBM Cloud to provision and use generative AI platforms. ...

Learn More 0 0Mar 17

My personal “majordhomme” (butler) AI agent with CrewAI, Granite, DeepSeek and more…

An agent based on CrewAI with different skills using Granite and DeepSeek so far (more to come) ...

Learn More 0 0Mar 16

Populating a RAG with data from enterprise documents repositories for Generative AI

Ingesting data from OneDrive into Milvus in order to use with generative ai. Image courtesy...

Learn More 1 0Mar 15

Simple Knowledge Retrieval: A RAG Implementation and query using IBM Granite on Hugging Face

A simple RAG implementation and query using IBM Granite on Hugging Face. ...

Learn More 0 0Mar 8