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Free Download Udemy - Semantic Search With Vector Databases Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.48 GB | Duration: 5h 3m From theory to practical implementation with Pinecone and AI What you'll learn Understand the fundamentals of semantic search and vector databases Create and manage vector indexes with Pinecone Implement text processing pipelines for vector databases Develop advanced queries and AI assistants for vector search Requirements Basic programming skills (preferably in Python). Introductory knowledge of APIs and HTTP requests. Computer with internet access to test the codes in practice. Free Pinecone account. No previous experience with vector databases or semantic search is required. Description Semantic search and vector databases are transforming the way we deal with large volumes of information, making searches more precise and contextualized. If you want to understand this innovative technology and apply it to your projects, this course is for you.In this course, you will learn everything from the fundamental concepts of semantic search to the practical implementation of vector databases using Pinecone, one of the leading platforms for vector storage and retrieval. We will explore how to transform text into vectors, create efficient indexes and build intelligent queries to find relevant information quickly.What will you learn?Fundamentals of Semantic Search and Vector Databases - Understand how vectors represent meaning and context in searches.Creating and Managing Vector Indexes - Configure and manipulate vector databases using Pinecone.Text Processing for Embeddings - Extract data from documents, strategically split text, and generate high-quality embeddings.Building Advanced Query - Learn how to retrieve information efficiently and accurately.Developing an AI Assistant - Create a system that answers questions based on vector search.Who is this course for?This course is ideal for developers, data scientists, AI professionals, and students who want to deepen their knowledge of semantic search and vector databases. Whether you want to build recommendation systems, search engines, or intelligent chatbots, this course will provide you with the knowledge you need.No prior experience with vector databases is required. Overview Section 1: Module 1 Lecture 1 Introduction to Semantic Search and Vector Databases Lecture 2 Creating your Pinecone account Lecture 3 Capacity and vectors Section 2: Module 2 Lecture 4 Introduction to creating indexes by code Lecture 5 Setting up the environment and getting started Lecture 6 Creating APIs for Pinecone Lecture 7 Implementing index creation in Pinecone Lecture 8 Integration with FastAPI and Creating Services Lecture 9 Listing Indexes in Pinecone Lecture 10 Displaying index details Section 3: Module 3 Lecture 11 Introduction to Vector Index Manipulation Lecture 12 Creating Embed Services to Transform Texts into Vectors Summary Lecture 13 Extração de Texto de PDFs para Bancos Vetoriais Lecture 14 Dividing Documents for Processing in Vector Databases Lecture 15 Advanced Split Techniques with Overlap Lecture 16 Implementing Split Functions in Code Lecture 17 Processing Strategies for Embeddings Section 4: Module 4 Lecture 18 Introduction to Upsert in Vector Databases Lecture 19 Automating Upsert with Functions Customized Lecture 20 Validating Insertions in Vector Databases Lecture 21 Adding Metadata to Vectors in Pinecone Lecture 22 Assembling Vectors with Metadata and Embeddings Lecture 23 Validating and Testing Metadata in Pinecone Section 5: Module 5 Lecture 24 Introduction to Queries in Vector Databases Lecture 25 Building Queries in Vector Databases Lecture 26 Formatting Responses to Vector Queries Lecture 27 Creating an AI Assistant for Querying Developers and data scientists who want to learn about semantic search and vector databases.,AI and Machine Learning professionals interested in optimizing information retrieval using embeddings.,Students and researchers working in natural language processing (NLP) who need to store and query large volumes of data efficiently.,Entrepreneurs and technology enthusiasts who want to build intelligent assistants, chatbots, and personalized search engines. 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Free Download Semantic Search API with S-BERT and Search API with RAG/LLM Published: 3/2025 Created by: André Vieira de Lima MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 58 Lectures ( 7h 21m ) | Size: 3.55 GB Using Artificial Intelligence (NLP) to build a semantic text query API with BERT and RAG (LangChain/LLM) What you'll learn Implement semantic text search engine API using S-BERT. Implement a search engine API using Retrieval-Augmented Generation (RAG) and LLM. Bootcamp for building an artificial intelligence API with resources used in companies like Google. Acquisition of knowledge in Natural Language Processing (NLP) for text processing with Machine Learning. Using NLP tools like NLTK, Spacy, Sentence Transformers for building search engine. Using NLP tools like NLTK, Spacy, Sentence Transformers for building search engine. Hands on (practical project) in building a complete Artificial Intelligence / Machine Learning project in Python. Develop an LLM agent using LangChain. Requirements Python knowledge Pandas Knowledge Description In a rich Artificial Intelligence Bootcamp, learn S-BERT and RAG(LLM) through Natural Processing Language (NLP) with Python, and develop a semantic text search engine API by solving a real problem of a purchasing analysis system.As content:Fundamentals.Learn the fundamentals of Data Science;Learn the fundamentals of Machine Learning;Learn the fundamentals of Natural Language Processing;Learn the fundamentals of Data Cleaning, Word Embendings, Stopwords, and Lemmatization;Learn the fundamentals of text search by keywords and semantic text search;Practice Data Science to understand the problem, prepare the database and statistical analysis;Practical project.This course is divided into two modules where you will learn concepts and build a text search application in a practical way.BERT In this module, you will work with:Python to develop the application;Data cleaning techniques to prepare the database;Using the SpaCy library for Natural Language Processing;Generating Word Embeddings and calculating similarity for data recovery;Transformers model for data recovery by context;S-BERT as a semantic text search tool;Flask and Flassger for developing APIs.Retrieval-augmented generation (RAG)In this module you will work with:Python to develop the application;Large Language Models (LLMs). Advanced AI models that understand and generate natural language;Using the OpenAI API to build AI productsLangChain to build applications that use LLMs;Flask and Flassger for developing APIs.Optional module: learn how to develop API with Flask.Welcome and have fun. Who this course is for Interested in innovation in the latest and most valuable Data Science and Artificial Intelligence technologies. Interested in deepening Natural Language Processing (NLP) techniques Interested in building a semantic text search engine that evaluates synonyms in search terms. Homepage: https://www.udemy.com/course/semantic-search-api-with-s-bert-and-search-api-with-ragllm/ Rapidgator https://rg.to/file/7d35d59e6009ab55c21a4efe7448874c/cnoyv.Semantic.Search.API.with.SBERT.and.Search.API.with.RAGLLM.part4.rar.html https://rg.to/file/9666fba5ea155b4607b68408a59323dd/cnoyv.Semantic.Search.API.with.SBERT.and.Search.API.with.RAGLLM.part1.rar.html https://rg.to/file/d534b264753c8c08d3fbc698097c7031/cnoyv.Semantic.Search.API.with.SBERT.and.Search.API.with.RAGLLM.part3.rar.html https://rg.to/file/ffe6d0093b733b5ba7c39caa5bc4ca47/cnoyv.Semantic.Search.API.with.SBERT.and.Search.API.with.RAGLLM.part2.rar.html Fikper Free Download https://fikper.com/2POJcnjf8Q/cnoyv.Semantic.Search.API.with.SBERT.and.Search.API.with.RAGLLM.part2.rar.html https://fikper.com/2cLvzXL5Wa/cnoyv.Semantic.Search.API.with.SBERT.and.Search.API.with.RAGLLM.part3.rar.html https://fikper.com/B05J6OHs1g/cnoyv.Semantic.Search.API.with.SBERT.and.Search.API.with.RAGLLM.part4.rar.html https://fikper.com/xci3iacRwA/cnoyv.Semantic.Search.API.with.SBERT.and.Search.API.with.RAGLLM.part1.rar.html No Password - Links are Interchangeable

Free Download Udemy - Mastering Semantic Kernel By Creating Projects Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 6.29 GB | Duration: 8h 28m Learn to harness the potential of Semantic Kernel and build advanced AI applications using OpenAI and Azure OpenAI. What you'll learn Fundamentals of Semantic Kernel Kernel Creation Generating Images, Text, Audio, and Transcriptions Using AI Using Chat Histories Using and Creating Native Plugins Prompting Techniques Using Vector Stores Textual Search Requirements Basic programming knowledge (ideally in C# or .NET) Willingness to learn and experiment with Semantic Kernel and AI plugins OpenAI account or access to Azure OpenAI services Description Do you want to integrate artificial intelligence into your applications efficiently and effectively? This course is your gateway to the world of Semantic Kernel, a powerful Microsoft tool that enables you to enhance your developments with language models (LLMs) like OpenAI and Azure OpenAI.What will you learn in this course?VectorStores and Semantic Search: Learn how to use embeddings to store and retrieve information efficiently, reducing token consumption and optimizing queries.Integration with OpenAI and Azure OpenAI Models: Generate embeddings, process text, and perform vector searches using technologies like TextEmbeddingADA002.Retrieval-Augmented Generation (RAG): Improve AI model accuracy by combining web searches and vector databases with Semantic Kernel.Process Automation with Plugins: Implement custom plugins in C# to connect external APIs and perform specialized tasks.Application Development with Semantic Kernel: Build everything from interactive chatbots to automated content generators for WordPress and podcasts.Integration with FFmpeg: Extract audio from videos, transcribe content with Whisper, and generate clips for social media automatically.Advanced Prompt Engineering and Templates: Learn how to structure effective prompts using YAML, Handlebars, and Liquid to optimize AI interactions.Who is this course for?Developers looking to implement AI in their applications using .NET and C#Data scientists and NLP specialists who want to enhance their models with vector searchesContent creators and automation enthusiasts interested in generating text, audio, and images with AIProfessionals seeking to master advanced Semantic Kernel techniques and its integration with OpenAI and AzureWhy take this course?100% hands-on: Real-world projects from installation to final implementationCutting-edge technology: Learn to leverage Semantic Kernel, a key SDK for developing AI copilots and intelligent assistantsPractical use cases: From intelligent chatbots to automated WordPress posts and AI-generated podcastsSupport and community: Access an active community and updated materials featuring the latest AI toolsIf you want to take AI to the next level and integrate it into real-world projects, this course is for you.Enroll now and become an expert in Semantic Kernel and applied AI! Overview Section 1: Introducción Lecture 1 What is Semantic Kernel? Lecture 2 Semantic Kernel Components Lecture 3 Benefits and Use Cases Lecture 4 Setting Up a VS 2022 Project with Semantic Kernel Section 2: The Kernel - Core Engine Lecture 5 Understanding Kernel as orchestrator Lecture 6 The Builder pattern Lecture 7 Builder Pattern Demo Lecture 8 Creating an API Key to connect to OpenAI Lecture 9 Creating an API Key to connect to Azure OpenAI Lecture 10 Creating the project, environment variables and Kernels Lecture 11 Chat Completion using Semantic Kernel Lecture 12 Chat Completion Streaming using Semantic Kernel Lecture 13 Generating images using Semantic Kernel Lecture 14 Generating Audio Files using Semantic Kernel Lecture 15 Extracting Text from Audio using Semantic Kernel Section 3: Workshop - Creating Blog Posts using Semantic Kernel Lecture 16 About the project Lecture 17 Creating the project and configuring the Kernels Lecture 18 Generating the Blog Post Lecture 19 Generating a Featured Image for the blog post Lecture 20 Generating the Blog Post Audio File Lecture 21 Publishing the content on Wordpress Section 4: Getting Started with Chat Completion Lecture 22 Using the Chat Completion Service Lecture 23 Adding Chat History Lecture 24 Multi-modal chat completion Section 5: Workshop - Creating a Multi-modal Chat Application Lecture 25 Introduction to the Section Lecture 26 Creating and setting up the project Lecture 27 Displaying chat instructions Lecture 28 Interacting with the chat service Lecture 29 Adding the ability to read images Section 6: Plugins Lecture 30 The foundation of plugins in Semantic Kernel Lecture 31 Creating Kernel Functions Lecture 32 Creating Native Plugins Lecture 33 Creating your first native plugins Lecture 34 Using built-in plugins Lecture 35 Function Calling Lecture 36 Function Calling in Semantic Kernel Lecture 37 Function Calling in Action Lecture 38 AddFromObject vs AddFromType Lecture 39 Function Choice Behavior Lecture 40 Function Invocation Lecture 41 Dealing with complete objects as parameters Lecture 42 Adding OpenAPI plugins Section 7: Workshop - Create a Video Insights app Lecture 43 Introduction to the Section Lecture 44 Creating and configuring the initial project Lecture 45 Installing ffmpeg Lecture 46 Extracting the audio file from a video file Lecture 47 Compressing the audio File for transcription Lecture 48 Implementing Speech to Text to get the transcription Lecture 49 Cutting video highlights Lecture 50 Burning subtitles Section 8: Prompts Lecture 51 Prompting fundamentals Lecture 52 Using Semantic Kernel prompt templates Lecture 53 Converting prompts to ChatHistory instances Lecture 54 Using variables in prompt templates Lecture 55 Handlebars Prompt Templates Lecture 56 Liquid Prompt Templates Lecture 57 Separating prompt templates into YAML files Section 9: Workshop - Create a Podcast Generator App Lecture 58 Introduction to the Section Lecture 59 Configuring the project Lecture 60 Input Data Collection Lecture 61 Markdown Conversion Lecture 62 Generating the first draft Lecture 63 Generating the Podcast Script Lecture 64 Generating the Conclusion Lecture 65 Podcast Generation Section 10: Memory (Vector Stores) and Text Search Lecture 66 What are Embeddings and Vector Stores? Lecture 67 Defining your Data Model Lecture 68 Generating embeddings and saving in Vector Stores Lecture 69 Performing Vector Search Lecture 70 Text Search Lecture 71 Text Search Plugins Lecture 72 Text Search Plugins - Function Calling Lecture 73 Text Search with Vector Stores Students and professionals who want to expand their toolkit for building intelligent applications with natural language processing.,Entrepreneurs and AI solution creators interested in leveraging AI service capabilities.,Developers who want to integrate AI into their applications.,Anyone interested in building applications with advanced AI capabilities. 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Free Download Semantic Kernel C# Published 9/2024 Created by Stipe Cule MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 13 Lectures ( 1h 17m ) | Size: 586 MB Semantic Kernel C# deep dive with chat, prompts, auto invoking of plugins and embeddings What you'll learn: Understand Semantic Kernel C# Chat with LLMs using C# Create your own AI plugins Auto-invoke functions and prompts Create embeddings for RAG Create C# apps implementing latest AI nugets from Microsoft Requirements: Basic .NET knowledge is helpful, but above all interest in development and new technologies. Description: Have you heard about Semantic Kernel? Maybe tried to use it in your applications or experiment with it, just to come across a wall of weird documentation, many breaking changes and lack of learning materials ?I know I have, that is why I created this hands on course, where together we go over main features of Semantic Kernel C# such as:Chat completionChat HistoryChat StreamingFile Prompts (including YAML)Native PluginsAuto InvokeGenerate EmbeddingsThe course is meant to show you how to write code that does all of the above, without much theory and distraction. We focus on the practical aspects of Semantic Kernel, how to use it in our applications and evaluate it's suitability and maturity level. As is the case with all new technologies, when using them one needs to be careful, that is why it is a great idea to see what Semantic Kernel is all about and can it be used in your applications. The lessons are reasonably short, to the point and coding style should suit developers of all levels of experience.So, if you are new to Semantic Kernel, interested in learning what it is all about or struggling with any of the above, then this might be the course for you. Who this course is for: .NET developers interested in latest technologies and building AI assisted applications. Homepage https://www.udemy.com/course/semantic-kernel-c/ Rapidgator https://rg.to/file/71ac07c0133050b24575a40494b703ab/cdsed.Semantic.Kernel.C.rar.html Fikper Free Download https://fikper.com/ARXoenKY4u/cdsed.Semantic.Kernel.C.rar.html No Password - Links are Interchangeable

Semantic Mastery - Curation Mastery [2015] English | Size: 4.85 GB Category: Tutorial Create whitehat, traffic producing content in a fraction of the time it normally takes. Let's face it: Content is the King, but it's also the most time consuming and expensive aspect of a project I bet this sounds familiar... You've: Tried to Keep your Content Fresh and Relevant Spent a Ton of Time Writing Articles Invested a Small Fortune in Writers and VAs Or tried some of the Advanced Gibberish Creators out there ... and they didn't work, took too much time, and left you frustrated. But There Is Good News! Hey there, my name is Bradley Benner and yes, I know exactly how you're feeling... These days, I've managed to achieve quite a bit of success... But I know that content (IE: articles, videos, etc), can be a bit of a pain... However, we have developed a system that has allowed us to mantain good quality PBNs, get great content for clients and for our Web 2.0 networks... for A FRACTION OF THE COST And I'm very lucky in that I can provide this as a service to clients, charge a hefty price for setting this up, and pay an outsourcer to do all of the work! But I'll be honest... High Quality Content Was Either a Dream or a PITA... Before I ever achieved even a tiny taste of success, there were a lot of roadblocks. Either I spent 2-3 hours every day just writing articles for my projects or I spent a lot of money on low quality content... Content which later was penalized... So when a client came, I had to set aside a good portion of my daily time, or hire a VA strictly for that client. You know that quality articles for money sites are expensive, and native speakers are too, right? I didn't know how to automate most of the work so that I could continue building my empire... And I was afraid I would never be able to scale my business to generate the kind of income I desired... So, finding good quality articles was much more difficult than the "Gurus" said it was and took up WAY too much of my time... I almost started thinking I would never be able to build a SEO business that would be manageable. You know exactly what I'm talking about, am I right? Does any of this sound familiar? You've tried every new method that finds its way to your inbox which just resulted in a lot of money spent with no results to show for it. You've spent hours hunting down "high quality" article sources which led to lost time that could have been better spent just writing your own articles. You've attempted to use sophisticated article building tools that ended up giving you non-readable content and actually hurt your rankings! But I Wouldn't Give Up!!! I kept testing methods until one day I discovered something that CHANGED EVERYTHING. You can only run into so many walls before you get so frustrated that the only option left seems to be quitting. I was just about at that point when I developed a simple method that produced outstanding results, quickly AND consistently. As soon as I discovered this, everything got easier. With this new level of success, I knew I couldn't keep it to myself. Since then, I've run into many others who encountered the same, never-ending battles I went through. And it seemed pretty unfair to keep it quiet... especially since it's been such a huge stepping stone in my success. So I'd like to let you in on the "secret." Introducing... Semantic Mastery's CURATION MASTERY The comprehensive training course that will help you Create high quality content on demand for a fraction of the cost! So, what exactly is this going to do for you? Can my simple method really turn everything around for you? Yes. Yes it can. 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Value: $47.00 Can Be Completely Outsourced - This a good thing because it provides you with a scalable process that can be used to grow an SEO business quickly and with little of your own effort and I even have a solution for training outsourcers. (Details inside). Value: $97.00 Can Be Used for Money Sites, Tier 1 PBNs, Web 2.0s, Etc. - This is great because you can use the same methods to generate content for your websites, blogs, and even client sites. Value: $197.00 You Don't Have to Take My Word For It... I've already slipped the secret to a select group of people. Truth be told, I wanted to guarantee that this would actually work time and time again. More importantly, I wanted to make sure you'd achieve the same results I have. Well, I'll let them speak for themselves... 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