llm
TL;DR: LLMs don’t behave like normal services. They’re creative, a bit moody, and change under the hood without warning. Left alone, they surprise you at the worst time. You need LLMOps Monitoring: evals to measure quality, tracing to debug runs, and...
RAG
How Integrating Knowledge Graphs Can Improve Retrieval Augmented Generation Systems
genai
Introduction: This Christmas, we tried something new for our ceremony: a roasting party with an AI twist! We called it "Chef Roaster," in keeping with our DataChef theme. The concept was simple—provide AI with some information and roasting ideas, the...
llm
What’s at Stake? As the AI wave reshapes the tech industry, companies are racing to use its potential—whether to improve operational efficiency or deliver shiny new features to their customers. For organizations lacking the resources to self-host mas...
Databases
First Movement: Tackling "Almost-Duplicate" Records in Our Database Understanding Our Mission At Datachef, we are on a mission to build our own interconnected knowledge base on Notion, where we organize records of our Hiring Pipeline linked to our ...
llm
In the previous parts of this series, we explored the foundational aspects of Knowledge Graphs (KGs), including their difference from traditional databases and the critical role that ontology plays in structuring and organizing data. Now that we have...
knowledge graph
In the first part of this series, we explored how knowledge graphs are fundamentally different from traditional databases by shifting focus from isolated pieces of information to connected relationships. We also discussed various storage mechanisms f...
knowledge graph
What and Where vs How and Why: Information vs Knowledge Since the start of the IT revolution, we've been storing data with the expectation that it will help us answer future questions. However, the types of questions we aim to answer have evolved ove...
Artificial Intelligence
Introduction Let’s walk through this question in our own mind! How many Rs are in the word strawberry? The answer is obviously 3, but what went through your brain when answering it? It’s an interesting way to look at our thought process, and like any...
PySpark
Context A few weeks ago we were contacted by FrieslandCampina to help them with a problem they faced on their recommendation engine. Being one of the biggest dairy companies in the world they sell hundreds of dairy products to millions of customers a...
serverless
Introduction As you delve deeper into coding and your code becomes too heavy to run on your laptop, you may need to transfer your workload to a Cloud or High-Performance Computing (HPC) server. Computational Biology and Bioinformatics as a field have...
Machine Learning
Why Serverless Machine Learning Inference? So now you have trained your machine learning model, and it works well; finally other people can use it. To make your model accessible to others, you need to deploy it on a server that gets the inputs and re...