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AI Search Engines

Build next-generation AI-powered search engines with semantic understanding, retrieval-augmented generation, and vector search capabilities.
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Save 59% Offer ends on 31-Dec-2025
Course Duration: 10 Hours
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Search is at the heart of how we interact with the internet and information systems. As AI advances, search is being redefined—moving from keyword matching to semantic understanding, contextual awareness, and intelligent ranking. This course on AI Search Engines is designed to equip developers, data scientists, AI engineers, and product creators with the skills to build modern, high-performance search experiences using the latest tools in vector search, embeddings, and LLMs.
 
Unlike traditional search engines that rely on lexical matches, AI search leverages techniques like embeddings, transformers, retrieval-augmented generation (RAG), and hybrid search to deliver human-like relevance and precision. This course explores how to design and deploy search systems that not only return relevant results but also understand user intent, context, and domain-specific semantics.
 
Using tools like OpenAI, Hugging Face, FAISS, Pinecone, ChromaDB, and LangChain, you’ll build full-stack AI search engines that can process unstructured documents, perform semantic matching, and even respond with contextual answers instead of just links.
 
What Are AI Search Engines?
 
AI Search Engines are systems that use machine learning, natural language understanding, and vector-based indexing to enable semantic, intelligent, and personalized search. They go beyond keywords to understand the meaning of queries and documents, making them ideal for complex knowledge retrieval and conversational AI.
 
This course walks you through building such systems—starting with core search principles and progressing to semantic indexing, RAG pipelines, and chat-style search interfaces.
 
How to Use This Course
 
  1. Begin with Search Fundamentals – Understand how traditional and semantic search differ.
  2. Move to Embeddings & Vectors – Learn to embed queries and documents and build fast similarity search.
  3. Build Search Applications – Construct search UIs using Streamlit, Gradio, or FastAPI.
  4. Apply RAG – Fuse retrieval with language models to return accurate, contextual answers.
  5. Capstone Projects – Create and deploy a smart document search engine, enterprise knowledge tool, or AI-powered chatbot.

Course/Topic 1 - Coming Soon

  • The videos for this course are being recorded freshly and should be available in a few days. Please contact info@uplatz.com to know the exact date of the release of this course.

    • 01:20
Course Objectives Back to Top
By the end of this course, you will:
 
  1. Understand how search engines work and how AI enhances search.
  2. Learn the principles of semantic and neural search.
  3. Generate and store text embeddings using OpenAI, Cohere, or Hugging Face.
  4. Build vector databases using FAISS, Pinecone, or Chroma.
  5. Perform similarity search with vector indexes for ranking and retrieval.
  6. Combine retrieval with generation using RAG pipelines.
  7. Build UIs for smart search using Streamlit, Gradio, or FastAPI.
  8. Optimize indexing, filtering, chunking, and metadata for better results.
  9. Monitor, evaluate, and fine-tune search quality using relevance metrics.
  10. Deploy scalable AI search engines to cloud or edge platforms.
Course Syllabus Back to Top
Course Syllabus
 
Module 1: Introduction to AI Search
  • Traditional search vs. AI-powered search
  • Lexical vs. semantic search
  • Applications and case studies
Module 2: Basics of Information Retrieval
  • Ranking, indexing, and query processing
  • Precision, recall, F1 score
  • Relevance models
Module 3: Introduction to Embeddings
  • What are embeddings?
  • Generating embeddings using OpenAI, Cohere, Hugging Face
  • Measuring vector similarity (cosine, dot product)
Module 4: Building Vector Databases
  • Introduction to FAISS, Pinecone, ChromaDB, Weaviate
  • Storing, querying, and filtering vectors
  • Chunking documents and indexing best practices
Module 5: Semantic Search Pipelines
  • From query to vector
  • Running fast similarity search
  • Integrating with metadata filters
Module 6: Retrieval-Augmented Generation (RAG)
  • Architecture of RAG systems
  • Connecting LLMs to search indexes
  • Context-aware answer generation
Module 7: Hybrid Search Techniques
  • Combining BM25 and vector search
  • Scoring and ranking fusion
  • Improving relevance with hybrid strategies
Module 8: Building Full-Stack AI Search Apps
  • Creating search UIs with Streamlit or Gradio
  • Backend with FastAPI and LangChain
  • Real-time query answering
Module 9: Evaluation and Optimization
  • Testing for hallucination, accuracy, and relevance
  • Ranking evaluation metrics
  • Logging and feedback loops
Module 10: Deployment and Scaling
  • Deploying AI search apps on cloud platforms
  • Caching and latency optimization
  • Handling scale and concurrency
Module 11: Capstone Projects
Choose from:
 
  • AI-powered document search engine
  • Semantic search with chat UI
  • Internal knowledge base search for teams
Certification Back to Top

On successful completion of this course, you will receive a Certificate of Completion from Uplatz validating your expertise in building AI-powered search engines. This credential demonstrates your proficiency in embedding techniques, vector search architectures, and RAG pipelines. Whether you are developing intelligent knowledge bases, advanced search tools, or conversational interfaces, this certificate proves your capability to design and deploy real-world AI search applications. It’s an excellent addition to your professional portfolio, whether you're targeting roles in AI development, search engineering, information retrieval, or enterprise product innovation. The certification also highlights your ability to evaluate and optimize search relevance, implement hybrid search techniques, and build full-stack experiences using modern LLM frameworks and vector tools.

Career & Jobs Back to Top
The demand for AI-driven search solutions is growing rapidly across sectors such as legal tech, healthcare, e-commerce, enterprise knowledge management, and education. Companies need professionals who understand how to implement semantic search, context-aware retrieval, and AI-enhanced discovery systems.
 
Roles aligned with this course include:
  • AI Search Engineer
  • LLM Engineer
  • Search Product Developer
  • Semantic Search Specialist
  • Knowledge Graph Engineer
  • AI/NLP Engineer
  • Full Stack AI Developer
  • RAG System Architect
AI search capabilities are critical to products such as intelligent document assistants, internal knowledge bases, customer service chatbots, and domain-specific Q&A tools. Mastery of vector databases, embeddings, and retrieval strategies enables you to build applications that go far beyond what traditional search can achieve.
 
Freelancers and consultants can apply these skills in creating custom knowledge retrieval tools, chatbot integrations, or embedded search systems for clients in legal, research, medical, and SaaS industries.
 
Whether you’re aiming to build the next generation of Google-like semantic search, or enhance internal productivity with AI knowledge agents, this course gives you the architecture, techniques, and tools to succeed in a highly specialized and valuable career niche.
Interview Questions Back to Top
1. What is semantic search and how is it different from keyword search?
Semantic search uses vector similarity and embeddings to match meaning, not just exact keywords. It retrieves relevant results even if the query wording is different.
 
2. What are text embeddings and how are they used in AI search?
Text embeddings are numerical representations of text that capture meaning. They are used to perform similarity comparisons in vector databases.
 
3. What is a vector database and why is it important?
A vector database stores high-dimensional vectors and enables efficient similarity search, crucial for semantic and AI-enhanced retrieval systems.
 
4. How does Retrieval-Augmented Generation (RAG) work?
RAG retrieves relevant documents from a database and uses an LLM to generate a response using those documents as context.
 
5. What tools are commonly used for building AI search systems?
FAISS, Pinecone, ChromaDB, Hugging Face Transformers, OpenAI APIs, LangChain, Streamlit, and FastAPI.
 
6. What is hybrid search?
Hybrid search combines traditional keyword search (e.g., BM25) with vector-based semantic search for improved relevance and precision.
 
7. How do you evaluate the performance of an AI search engine?
Use metrics like precision, recall, MRR (Mean Reciprocal Rank), nDCG, relevance judgments, and user feedback.
 
8. What is chunking and why is it important in document search?
Chunking splits long documents into smaller parts to ensure more accurate indexing, retrieval, and context for RAG systems.
 
9. How can you improve the latency of vector search?
Optimize by using approximate nearest neighbor (ANN) methods, batching queries, and selecting efficient index structures.
 
10. What are some real-world applications of AI-powered search?
Intelligent document assistants, customer support bots, product search engines, research paper retrieval, legal discovery, and personalized content search.
Course Quiz Back to Top
Start Quiz
Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

Q3. How long is the course access?
A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience.

Q4. Are the videos downloadable?
A4. Video courses cannot be downloaded, but you have lifetime access to any video course you purchase on our website. You will be able to play the videos on our our website and mobile app.

Q5. Do you take exam? Do I need to pass exam? How to book exam?
A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam.

Q6. Can I get study material with the course?
A6. The study material might or might not be available for this course. Please note that though we strive to provide you the best materials but we cannot guarantee the exact study material that is mentioned anywhere within the lecture videos. Please submit study material request using the form https://training.uplatz.com/study-material-request.php

Q7. What is your refund policy?
A7. Please refer to our Refund policy mentioned on our website, here is the link to Uplatz refund policy https://training.uplatz.com/refund-and-cancellation-policy.php

Q8. Do you provide any discounts?
A8. We run promotions and discounts from time to time, we suggest you to register on our website so you can receive our emails related to promotions and offers.

Q9. What are overview courses?
A9. Overview courses are 1-2 hours short to help you decide if you want to go for the full course on that particular subject. Uplatz overview courses are either free or minimally charged such as GBP 1 / USD 2 / EUR 2 / INR 100

Q10. What are individual courses?
A10. Individual courses are simply our video courses available on Uplatz website and app across more than 300 technologies. Each course varies in duration from 5 hours uptop 150 hours. Check all our courses here https://training.uplatz.com/online-it-courses.php?search=individual

Q11. What are bundle courses?
A11. Bundle courses offered by Uplatz are combo of 2 or more video courses. We have Bundle up the similar technologies together in Bundles so offer you better value in pricing and give you an enhaced learning experience. Check all Bundle courses here https://training.uplatz.com/online-it-courses.php?search=bundle

Q12. What are Career Path programs?
A12. Career Path programs are our comprehensive learning package of video course. These are combined in a way by keeping in mind the career you would like to aim after doing career path program. Career path programs ranges from 100 hours to 600 hours and covers wide variety of courses for you to become an expert on those technologies. Check all Career Path Programs here https://training.uplatz.com/online-it-courses.php?career_path_courses=done

Q13. What are Learning Path programs?
A13. Learning Path programs are dedicated courses designed by SAP professionals to start and enhance their career in an SAP domain. It covers from basic to advance level of all courses across each business function. These programs are available across SAP finance, SAP Logistics, SAP HR, SAP succcessfactors, SAP Technical, SAP Sales, SAP S/4HANA and many more Check all Learning path here https://training.uplatz.com/online-it-courses.php?learning_path_courses=done

Q14. What are Premium Career tracks?
A14. Premium Career tracks are programs consisting of video courses that lead to skills required by C-suite executives such as CEO, CTO, CFO, and so on. These programs will help you gain knowledge and acumen to become a senior management executive.

Q15. How unlimited subscription works?
A15. Uplatz offers 2 types of unlimited subscription, Monthly and Yearly. Our monthly subscription give you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews each month. Minimum committment is for 1 year, you can cancel anytime after 1 year of enrolment. Our yearly subscription gives you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews every year. Minimum committment is for 1 year, you can cancel the plan anytime after 1 year. Check our monthly and yearly subscription here https://training.uplatz.com/online-it-courses.php?search=subscription

Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.

Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

Q19. How do I enrol in Uplatz video courses?
A19. To enroll, click on "Buy This Course," You will see this option at the top of the page.
a) Choose your payment method.
b) Stripe for any Credit or debit card from anywhere in the world.
c) PayPal for payments via PayPal account.
d) Choose PayUmoney if you are based in India.
e) Start learning: After payment, your course will be added to your profile in the student dashboard under "Video Courses".

Q20. How do I access my course after payment?
A20. Once you have made the payment on our website, you can access your course by clicking on the "My Courses" option in the main menu or by navigating to your profile, then the student dashboard, and finally selecting "Video Courses".

Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.
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BUY THIS COURSE (USD 17 USD 41)