I migliori Keyword Relevancy podcast (2024)

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Numbers, categories, locations, images, text. How to embed the world? | S2 E9 46:44

4d ago46:44

46:44

Today’s guest is Mór Kapronczay. Mór is the Head of ML at superlinked. Superlinked is a compute framework for your information retrieval and feature engineering systems, where they turn anything into embeddings. When most people think about embeddings, they think about ada, openai. You just take your text and throw it in there. But that’s too crude…

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031 - Taking A Look At Your Client's CRO 35:31

5d ago35:31

35:31

Main talking points include: Conversion Rate Optimization (CRO): Importance of optimizing websites to help users take desired actions (leads, sales, etc.). CRO and SEO Link: Driving traffic through SEO is ineffective if visitors can’t convert due to website issues. Common CRO Mistakes: Broken contact forms or inquiry forms. E-commerce checkout issu…

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Building Taxonomies: Data Models to Remove Ambiguity from AI and Search | S2 E8 58:40

10d ago58:40

58:40

Today we have Jessica Talisman with us, who is working as an Information Architect at Adobe. She is (in my opinion) the expert on taxonomies and ontologies. That’s what you will learn today in this episode of How AI Is Built. Taxonomies, ontologies, knowledge graphs. Everyone is talking about them no-one knows how to build them. But before we look …

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From PDFs to Pixels: How ColPali is Changing Information Retrieval | S2 E7 54:57

17d ago54:57

54:57

ColPali makes us rethink how we approach document processing. ColPali revolutionizes visual document search by combining late interaction scoring with visual language models. This approach eliminates the need for extensive text extraction and preprocessing, handling messy real-world data more effectively than traditional methods. In this episode, J…

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Beyond Embeddings: The Power of Rerankers in Modern Search | S2 E6 42:29

18d ago42:29

42:29

Today, we're talking to Aamir Shakir, the founder and baker at mixedbread.ai, where he's building some of the best embedding and re-ranking models out there. We go into the world of rerankers, looking at how they can classify, deduplicate documents, prioritize LLM outputs, and delve into models like ColBERT. We discuss: The role of rerankers in ret…

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030 - The Brand SERP Guy, Jason Barnard 53:05

21d ago53:05

53:05

Main talking points include: In this episode, Pete and Jeff were super honoured to pick the brains of Branded SERP guru, Jason Barnard. In a conversation that covered a myriad of topics, the main talking points include: Importance of Managing Brand SERPs The Role of Google's Knowledge Graph Modern SEO and Entity Management The Concept of EEAT (Expe…

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Limits of Embeddings: Out-of-Domain Data, Long Context, Finetuning (and How We're Fixing It) | S2 E5 46:06

25d ago46:06

46:06

Text embeddings have limitations when it comes to handling long documents and out-of-domain data. Today, we are talking to Nils Reimers. He is one of the researchers who kickstarted the field of dense embeddings, developed sentence transformers, started HuggingFace’s Neural Search team and now leads the development of search foundational models at …

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RAG at Scale: The problems you will encounter and how to prevent (or fix) them | S2 E4 50:09

1M ago50:09

50:09

Hey! Welcome back. Today we look at how we can get our RAG system ready for scale. We discuss common problems and their solutions, when you introduce more users and more requests to your system. For this we are joined by Nirant Kasliwal, the author of fastembed. Nirant shares practical insights on metadata extraction, evaluation strategies, and eme…

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029 – Is Link Outreach Still A Relevant SEO Strategy in 2024? 32:30

1M ago32:30

32:30

Main talking points: In this episode, Pete and Jeff take on the sticky subject of links and their roll within an SEO Strategy and Client Agreements... Their discussion includes: Shift in the Link Outreach Landscape Why Link Outreach, Not Link Building Challenges of Link Outreach Link Outreach is Still Relevant but Contextual Citation Building Evalu…

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From Keywords to AI (to GAR): The Evolution of Search, Finding Search Signals | S2 E3 52:16

1M ago52:16

52:16

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 …

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Data-driven Search Optimization, Analysing Relevance | S2 E2 51:14

2M ago51:14

51:14

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…

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Query Understanding: Doing The Work Before The Query Hits The Database | S2 E1 53:02

2M ago53:02

53:02

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…

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Season 2 Trailer: Mastering Search 4:16

2M ago4:16

4:16

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…

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Unlocking Value from Unstructured Data, Real-World Applications of Generative AI | ep 17 36:28

3M ago36:28

36:28

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 …

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028 – Figuring Out The Priorities That Move The Needle For Your Clients 54:17

3M ago54:17

54:17

In this episode, Pete and Jeff chat through the benefits and the process that moves an agency away from just being a "website provider" to a "trusted advisor" for your clients. They also discuss why this is sometimes out of our comfort zone and give some strategies and tips on where to start. Main Talking Points Include: Understanding Client Needs …

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Data Processing for AI, Integrating AI into Data Pipelines, Spark | ep 16 46:26

3M ago46:26

46:26

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…

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Building AI Agents for the Enterprise: Realistic Use Cases, Cost Controls, Seamless UX | ep 15 35:12

3M ago35:12

35:12

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…

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027 - STOP Selling "SEO" - Do THIS Instead! 38:39

3M ago38:39

38:39

Main talking points include: In this episode, Pete and Jeff cover the following: The problem with selling SEO on its own Why broadening the scope beyond SEO is a good thing Why SEO should be part of a larger growth strategy The importance of having an initial discovery process / triage process Building recurring revenue Building long-term relations…

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Building Predictable Agents: Prompting, Compression, and Memory Strategies | ep 14 32:14

4M ago32:14

32:14

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…

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Data Integration and Ingestion for AI & LLMs, Architecting Data Flows | changelog 3 14:53

4M ago14:53

14:53

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…

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ETL for LLMs, Integrating and Normalizing Unstructured Data | ep 13 36:48

4M ago36:48

36:48

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…

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Serverless Data Orchestration, AI in the Data Stack, AI Pipelines | ep 12 28:06

4M ago28:06

28:06

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…

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Mastering Vector Databases: Product & Binary Quantization, Multi-Vector Search 40:06

4M ago40:06

40:06

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 …

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Building Robust AI and Data Systems, Data Architecture, Data Quality, Data Storage | ep 10 45:33

5M ago45:33

45:33

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…

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026 - Setting Expectations In Your Agency 32:58

5M ago32:58

32:58

Main talking points include: Setting Expectations and Discovery Process Managing Client Relationships Scaling Services Client Communication Handling Large Clients Financial Impact of Client Loss Client LifecycleDi SEOHive

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Modern Data Infrastructure for Analytics and AI, Lakehouses, Open Source Data Stack | ep 9 27:53

5M ago27:53

27:53

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 …

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Knowledge Graphs for Better RAG, Virtual Entities, Hybrid Data Models | ep 8 36:40

5M ago36:40

36:40

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…

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Navigating the Modern Data Stack, Choosing the Right OSS Tools, From Problem to Requirements to Architecture | ep 7 38:12

5M ago38:12

38:12

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…

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Data Orchestration Tools: Choosing the right one for your needs | ep 6 32:37

5M ago32:37

32:37

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…

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Building Reliable LLM Applications, Production-Ready RAG, Data-Driven Evals | ep 5 29:40

5M ago29:40

29:40

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…

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Lance v2: Rethinking Columnar Storage for Faster Lookups, Nulls, and Flexible Encodings | changelog 2 21:33

6M ago21:33

21:33

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'…

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Unlocking AI with Supabase: Postgres Configuration, Real-Time Processing, and Extensions | ep 4 31:57

6M ago31:57

31:57

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…

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AI Inside Your Database, Real-Time AI, Declarative ML/AI | ep 3 36:04

6M ago36:04

36:04

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…

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025 - Structuring Recurring Services 30:57

6M ago30:57

30:57

Main talking points In this episode, we chat through structuring SEO retainers and how to sell them effectively. The main talking points include: Importance of having a clear, structured framework for SEO services that outlines what the agency delivers and how they operate, with potential scalability. The risks of not having a structured offer and …

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Supabase acquires OrioleDB, A New Database Engine for PostgreSQL | changelog 1 13:37

6M ago13:37

13:37

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…

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AI Powered Data Transformation, Combining gen & trad AI, Semantic Validation | ep 2 37:09

6M ago37:09

37:09

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…

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Multimodal AI, Storing 1 Billion Vectors, Building Data Infrastructure | ep 1 34:04

6M ago34:04

34:04

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…

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024 - Selecting the right keywords 29:28

7M ago29:28

29:28

In this episode, we explore the various aspects of choosing the right keywords for SEO and the implications they have for a content strategy and, ultimately, the target business. The main talking points include: The importance of keywords in SEO Choosing the Right Keywords Keyword Research and Strategy Understanding Traffic and Relevance Balancing …

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023 – Google's Latest Update: Tackling SPAM! 30:40

7M ago30:40

30:40

Main talking points: In this episode, Pete and Jeff discuss Google's March 2024 algorithm update. This update focuses on Google's efforts to combat spam, particularly by addressing low-quality, unoriginal, and AI-generated content. This update isn't just about algorithm changes, however, but also introduces new spam policies, specifically targeting…

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022 - SEO Is A Game of Displacement 32:20

7M ago32:20

32:20

Main talking points include: In this episode, Pete and Jeff take a step back and look at how agencies should approach SEO for each client, and demonstrate that there is no "one-size-fits-all" approach – it all needs to be contextual to the competition. The conversation revolves around how SEO is a game of displacement, so as a web professional, it …

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021 – The importance of a solid brief with Matt Lasky 46:35

8M ago46:35

46:35

This show sees our first ever guest to The WP SEO Show - Matt Lasky. Pete and Matt discuss the importance of a well-structured web design brief for both clients and agencies. Matt, drawing from his career experience and his book "How to Take a Web Design Brief," emphasizes how a solid brief underpins successful project outcomes, effective communica…

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020 – Our 5 minute SEO Assessment for ANY client website 20:27

8M ago20:27

20:27

Our 5-minute SEO Assessment of any client website! Disclaimer: This isn't a process for running a full SEO Audit on a website. Instead, this is the process I go through when a lead comes in to talk about SEO. Before any project has been confirmed, or any money has exchanged hands, this is the process I go through before the initial call to give me …

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019 – Can you guarantee SEO results? 50:20

9M ago50:20

50:20

Following on from a comment made by Google's John Mueller on X, formerly known as Twitter, Pete and Jeff have an honest discussion about whether you can ever guarantee SEO Results? Main talking points include: Why you can never guarantee SEO results How to talk to clients about SEO results and how to tie them into commercial metrics The risks of re…

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018 - Our Recent Experience With AI Detection Tools 41:52

9M ago41:52

41:52

In this episode, Pete and Jeff explore a real example of a content AI checker, and how a client interpreted the results. Needless to say, the outcome wasn’t exactly “easy” to understand, so they chat through the results, the pitfalls and how these checkers are placed in the market at the moment.Di SEOHive

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017 – Your First SEO Discussion With Clients 50:41

9M ago50:41

50:41

Initiating SEO discussions with clients can be hard – regardless of if this is a new client on a client you've had for years... In this episode we explore strategies for approaching SEO sales conversations, emphasizing the importance of presenting SEO as an opportunity rather than a hard sell. We discuss the importance of understanding a client's c…

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016 – The Core SEO Principles To Focus On in 2024 40:23

9M ago40:23

40:23

Main talking points include: Our first show of 2024 focuses on three core SEO principles expected to be significant in the year. The first is the enduring importance of content, especially in the context of AI's growing influence and the need for authentic, human-generated material. Secondly, technical SEO – emphasizing the increasing relevance, es…

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015 - Understanding & Improving Core Web Vitals 49:47

10M ago49:47

49:47

Overview of Core Web Vitals: We kick off this episode walking through the six Core Web Vitals – a set of metrics used by Google to evaluate the user experience of a website. These are: First Contentful Paint (FCP) Largest Contentful Paint (LCP) Time to Interactive Speed Index Cumulative Layout Shift (CLS) Total Blocking Time (TBT) Each vital is the…

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014 - Paid Discovery for SEO Projects 45:14

10M ago45:14

45:14

In this episode, Jeff and Pete discuss the concept of "Paid Discovery" in SEO projects. They delve into why it's crucial for agencies to charge for the discovery phase of an SEO project, how it benefits both the agency and the client, and best practices for implementing this approach. Key Points Discussed: What is Paid Discovery? Getting paid to fi…

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013 - SEO Influence of WordPress Custom Post Types, Categories and Taxonomies 54:39

11M ago54:39

54:39

In this episode, Pete and Jeff dive into how you can better utilize some built-in but overlooked WordPress features to improve SEO on your site. Key Takeaways on Post Types, Categories, and Archive Templates: Post Types - The Highest Level of Organization Post types are the highest level for categorizing different content across your site, like pag…

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012 - Musings About The WordPress 6.4 Update 50:10

11M ago50:10

50:10

In this episode, Pete and Jeff muse about the trials and tribulations of WordPress Core Updates and how the latest release – WordPress 6.4 – went, as it wasn't as smooth as others have been. They cover: What core updates are and why they're important Best practices when performing WordPress updates What to do to ensure nothing goes wrong…

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