In this episode of How AI is Built, Nicolay Gerold interviews Doug Turnbull, a search engineer at Reddit and author on “Relevant Search”. They discuss how methods and technologies, including large language models (LLMs) and semantic search, contribute to relevant search results. Key Highlights: Defining relevance is challenging and depends heavily …

In this episode, we talk data-driven search optimizations with Charlie Hull. Charlie is a search expert from Open Source Connections. He has built Flax, one of the leading open source search companies in the UK, has written “Searching the Enterprise”, and is one of the main voices on data-driven search. We discuss strategies to improve search syste…

Welcome back to How AI Is Built. We have got a very special episode to kick off season two. Daniel Tunkelang is a search consultant currently working with Algolia. He is a leader in the field of information retrieval, recommender systems, and AI-powered search. He worked for Canva, Algolia, Cisco, Gartner, Handshake, to pick a few. His core focus i…

Today we are launching the season 2 of How AI Is Built. The last few weeks, we spoke to a lot of regular listeners and past guests and collected feedback. Analyzed our episode data. And we will be applying the learnings to season 2. This season will be all about search. We are trying to make it better, more actionable, and more in-depth. The goal i…

In this episode of "How AI is Built," host Nicolay Gerold interviews Jonathan Yarkoni, founder of Reach Latent. Jonathan shares his expertise in extracting value from unstructured data using AI, discussing challenging projects, the impact of ChatGPT, and the future of generative AI. From weather prediction to legal tech, Jonathan provides valuable …

This episode of "How AI Is Built" is all about data processing for AI. Abhishek Choudhary and Nicolay discuss Spark and alternatives to process data so it is AI-ready. Spark is a distributed system that allows for fast data processing by utilizing memory. It uses a dataframe representation "RDD" to simplify data processing. When should you use Spar…

In this episode, Nicolay talks with Rahul Parundekar, founder of AI Hero, about the current state and future of AI agents. Drawing from over a decade of experience working on agent technology at companies like Toyota, Rahul emphasizes the importance of focusing on realistic, bounded use cases rather than chasing full autonomy. They dive into the ke…

In this conversation, Nicolay and Richmond Alake discuss various topics related to building AI agents and using MongoDB in the AI space. They cover the use of agents and multi-agents, the challenges of controlling agent behavior, and the importance of prompt compression. When you are building agents. Build them iteratively. Start with simple LLM ca…

In this episode, Kirk Marple, CEO and founder of Graphlit, shares his expertise on building efficient data integrations. Kirk breaks down his approach using relatable concepts: The "Two-Sided Funnel": This model streamlines data flow by converting various data sources into a standard format before distributing it. Universal Data Streams: Kirk expla…

In our latest episode, we sit down with Derek Tu, Founder and CEO of Carbon, a cutting-edge ETL tool designed specifically for large language models (LLMs). Carbon is streamlining AI development by providing a platform for integrating unstructured data from various sources, enabling businesses to build innovative AI applications more efficiently wh…

In this episode, Nicolay sits down with Hugo Lu, founder and CEO of Orchestra, a modern data orchestration platform. As data pipelines and analytics workflows become increasingly complex, spanning multiple teams, tools and cloud services, the need for unified orchestration and visibility has never been greater. Orchestra is a serverless data orches…

Ever wondered how AI systems handle images and videos, or how they make lightning-fast recommendations? Tune in as Nicolay chats with Zain Hassan, an expert in vector databases from Weaviate. They break down complex topics like quantization, multi-vector search, and the potential of multimodal search, making them accessible for all listeners. Zain …

In this episode of "How AI is Built", data architect Anjan Banerjee provides an in-depth look at the world of data architecture and building complex AI and data systems. Anjan breaks down the basics using simple analogies, explaining how data architecture involves sorting, cleaning, and painting a picture with data, much like organizing Lego bricks…

Jorrit Sandbrink, a data engineer specializing on open table formats, discusses the advantages of decoupling storage and compute, the importance of choosing the right table format, and strategies for optimizing your data pipelines. This episode is full of practical advice for anyone looking to build a high-performance data analytics platform. Lake …

Kirk Marple, CEO and founder of Graphlit, discusses the evolution of his company from a data cataloging tool to an platform designed for ETL (Extract, Transform, Load) and knowledge retrieval for Large Language Models (LLMs). Graphlit empowers users to build custom applications on top of its API that go beyond naive RAG. Key Points: Knowledge Graph…

From Problem to Requirements to Architecture. In this episode, Nicolay Gerold and Jon Erich Kemi Warghed discuss the landscape of data engineering, sharing insights on selecting the right tools, implementing effective data governance, and leveraging powerful concepts like software-defined assets. They discuss the challenges of keeping up with the e…

In this episode, Nicolay Gerold interviews John Wessel, the founder of Agreeable Data, about data orchestration. They discuss the evolution of data orchestration tools, the popularity of Apache Airflow, the crowded market of orchestration tools, and the key problem that orchestrators solve. They also explore the components of a data orchestrator, t…

In this episode of "How AI is Built", we learn how to build and evaluate real-world language model applications with Shahul and Jithin, creators of Ragas. Ragas is a powerful open-source library that helps developers test, evaluate, and fine-tune Retrieval Augmented Generation (RAG) applications, streamlining their path to production readiness. Mai…

In this episode of Changelog, Weston Pace dives into the latest updates to LanceDB, an open-source vector database and file format. Lance's new V2 file format redefines the traditional notion of columnar storage, allowing for more efficient handling of large multimodal datasets like images and embeddings. Weston discusses the goals driving LanceDB'…

Had a fantastic conversation with Christopher Williams, Solutions Architect at Supabase, about setting up Postgres the right way for AI. We dug deep into Supabase, exploring: Core components and how they power real-time AI solutions Optimizing Postgres for AI workloads The magic of PG Vector and other key extensions Supabase’s future and exciting n…

If you've ever wanted a simpler way to integrate AI directly into your database, SuperDuperDB might be the answer. SuperDuperDB lets you easily apply AI processes to your data while keeping everything up-to-date with real-time calculations. It works with various databases and aims to make AI development less of a headache. In this podcast, we explo…

Supabase just acquired OrioleDB, a storage engine for PostgreSQL. Oriole gets creative with MVCC! It uses an UNDO log rather than keeping multiple versions of an entire data row (tuple). This means when you update data, Oriole tracks the changes needed to "undo" the update if necessary. Think of this like the "undo" function in a text editor. Inste…

Today’s guest is Antonio Bustamante, a serial entrepreneur who previously built Kite and Silo and is now working to fix bad data. He is building bem, the data tool to transform any data into the schema your AI and software needs. bem.ai is a data tool that focuses on transforming any data into the schema needed for AI and software. It acts as a sys…

Imagine a world where data bottlenecks, slow data loaders, or memory issues on the VM don't hold back machine learning. Machine learning and AI success depends on the speed you can iterate. LanceDB is here to to enable fast experiments on top of terabytes of unstructured data. It is the database for AI. Dive with us into how LanceDB was built, what…

If you’re looking for the very best examples of B2B marketing content, you’ve come to the right place. Because – after a whirlwind of nominations, shortlisting, group stages, and voting – we’ve whittled them down. Nineteen contenders. Five finalists. And, ultimately, one winner. In a departure from our usual format, this B2BQ&A tries to ask a quest…

As Greek philosopher Heraclitus pointed out, change is the only constant. So, how can B2B marketers ensure their content stays up-to-date and relevant to customers when technology and markets never stand still? We’ll find out in this episode of B2BQ&A, where we answer a question posed by Kate Terry, Head of Demand Generation at Unily. Specifically,…

Account-based marketing owes a lot of its power to the way its content can speak to this reader in particular, and address their unique needs. But how much tailoring is too much? That’s the question we’ll be tackling in this episode of B2BQ&A, on behalf of Rhiannon Blackwell, Account-Based Marketing Leader at PwC. Specifically, Rhiannon asked: “How…

Researching keywords is relatively easy in a popular B2C market – where data is plentiful and vocabulary is simple. But how do you find search intent in the rarefied world of B2B tech? That’s what Emily King from Bluefruit Software wants to know: “It’s one thing to know what you call your product or service, but it’s another to know what your poten…

WriterZen - Google Penalties: What Are They and How to Recover from Them If your website s been on the wrong side of an algorithm update or caught some other Google penalties, you may find it suffers a great loss of organic traffic See more: WriterZen.net

WriterZen - LSI Keywords: How to Find and Use Them to Boost Your SEO This article will highlight what you need to know about LSI keywords, how to find them, and how to use them See more: WriterZen.net

WriterZen - Gain organic traffic easily with the ultimate WriterZen workflow How exactly do I use WriterZen to optimise workflow you might ask You will find the answer in this article See more: Writterzen.net

WriterZen - Keyword Search Volume: Everything You Need to Know Keyword search volume is a vital metric in search engine optimization.Whether you are working to develop an organic content marketing strategy, create a new website, or devise a pay-per-click marketing strategy, you must consider keyword search volume. Keyword search volume is a vital m…

WriterZen - What Is Keyword Relevance and Why Is It Important? The term keyword relevance refers to the degree to which the material on your website is relevant to the keywords you ve selected to optimize it for See more: writerzen.net

WriterZen - How to Manage Keywords and Track Their Performance Strategically Keywords are essential for SEO, and monitoring them will help you understand your opportunities See more: writerzen.net

WriterZen - Revenue Forecast/ ESKP - An important metric you cannot miss when doing keyword research Revenue Forecast ESKP the magic metric that can help you estimate sales per keyword choice in WriterZen! Let s discover it! See more: WriterZen

WriterZen - Utilizing Google NLP for Better SEO Strategy Google NLP is one of those factors that have effect on the constant change of Google’s algorithm Utilizing Google NLP can help you to implement better SEO Stra NLP is an abbreviation for Natural Language Processing and is a field of one of the most revolutionary fields of artificial intellige…

WriterZen - What Is Keyword Competition and How to Effectively Measure It One important metric that helps you rank your website higher on the SERP is keyword competition or keyword difficulty See more writerzen

WriterZen - Keyword Cannibalization: What Is It And How to Avoid It? Optimizing your articles with the same key phrases and terms makes your website suffer in ranking on the SERP. It is also known as keyword cannibalization, which occurs when your keywords are repeated on multiple web pages, subdomains, blog posts, and other types of content. See m…

WriterZen - Capturing Organic Search Demand: A Content Manager’s How-to Guide Learn in 3 steps how to capture organic search demand through content without obsessing over keywords See more: writerzen.net

WriterZen - Keywords are Useless Without Context. Here’s how to Leverage Both Both keywords and search context are needed to create demand generating content Here’s how to understand and leverage them See more: writerzen.net #writerzen, #keywordsareuselesswithoutcontext

WriterZen - How Technology Helps in Structuring Strong Content Marketing Teams Do you want to produce blog posts at a faster rate Here’s how content marketing technology can help you do just that. See more: writerzen

WriterZen - Human-Centered Content: Why and How to Create it Have you been creating content solely to satisfy the algorithm Here’s why and how you should create human content instead See more: writerzen.net

WriterZen - Six Tips to Easily Find Interesting Topics for Content Writing In this blog post, you ll learn some easy ways to find interesting content ideas for your next blog posts See more: WriterZen

After a longer than expected absence from the recording booth, the podcast is back, though not quite in the usual B2BQ&A format. In this episode, we’ve collected our favourite copywriting tips from the past few months. Imagine a compilation album called Now That’s What I Call Copywriting, featuring freelance writer Matt Binny, Giles Edwards from …G…

WriterZen - Finally, WriterZen, Your Simplified Content Workflow Software Save research hours, find low competition keywords, create, and publish optimized pieces with WriterZen’s simplified content workflows See more: WriterZen

WriterZen - This AI Writing Tool Fits into Content Workflows to Augments, Not Replace Writers’ Creativity Learn how WriterZen’s AI content writing feature is purpose built, not to replace you, but helps you craft higher ranking content faster See more: WriterZen

WriterZen - How to Create a Simplified SEO Workflow for Consistent Results Struggling to boost productivity and get quicker results in your agency Adopt a simplified SEO workflow Here’s how to do it with only one tool See more: WriterZen

WriterZen - How to Optimize Meta Titles and Meta Descriptions Effectively A significant number of your visitors come from search engines like Google For each search query, they get access to many results to browse See more: WriterZen

What is Keyword Difficulty? How is it scored? Analyzing and choosing the right keywords for the correct competition is a job that has never been simple. WriterZen, with a keyword difficulty determination mechanism based on many factors, will help you have the proper perspective and help you increase the likelihood of choosing keywords that bring yo…

WriterZen - Keyword Research Simplified - Allintitle Checking and Keyword Golden Ratio Allintitle is an operator that helps us query Google to find out how many titles (how many articles are indexed by Google and likely to appear on the SERP) contain a particular keyword. Since it tells us the number of articles about any given keyword, the Allinti…