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Vector Search: Powering Semantic Retrieval and AI Applications

Master the principles, tools, and implementation of vector search for semantic retrieval in GenAI, RAG, and modern data applications.
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Course Duration: 10 Hours
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Vector Search – Online Course
 
Vector Search: Powering Semantic Retrieval and AI Applications is a hands-on, in-depth course designed for AI engineers, data scientists, full-stack developers, and tech entrepreneurs aiming to build intelligent search capabilities. As AI applications increasingly rely on semantic understanding—retrieving based on meaning rather than just keywords—vector search has become an indispensable tool.
 
At the heart of vector search is the ability to represent data—text, images, code, etc.—as high-dimensional vectors using embedding models. Instead of traditional keyword matching, vector search uses similarity metrics (like cosine similarity or dot product) to retrieve the most semantically relevant data points.
 
Whether you're powering a Retrieval-Augmented Generation (RAG) system, building a semantic product search engine, or indexing documents for contextual chatbots, vector search is the foundation. In this course, you’ll learn how to use tools like FAISS, Weaviate, Pinecone, Qdrant, Vespa, and Elasticsearch's vector capabilities to build scalable, production-ready search systems. You'll integrate them with embedding models like OpenAI, Hugging Face, and SentenceTransformers, and build projects that connect GenAI, search, and user interaction.
 
 
How to Use This Course
 
To effectively master vector search, follow this structured approach:
  1. Grasp the Theory First
    Understand how vectors work, what similarity means in high dimensions, and why embeddings revolutionize information retrieval.
  2. Hands-On with Multiple Vector Databases
    You’ll explore FAISS, Qdrant, Weaviate, and Pinecone—implementing basic and advanced queries, indexing, and filtering.
  3. Embed Everything
    Learn to generate embeddings for text, images, and even code. Understand which model works best for what data.
  4. Build Projects with RAG Pipelines
    You’ll create semantic search-powered applications like document assistants, search chatbots, and smart FAQ systems.
  5. Deploy and Monitor
    From containerized deployments to production monitoring and optimization—learn the full pipeline.
  6. Understand Trade-offs
    Accuracy vs. performance, local vs. cloud-hosted solutions, latency vs. recall—evaluate and design accordingly.
This course goes beyond theory to provide production-grade blueprints for semantic AI systems that rely on fast, relevant, and scalable vector search.

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  • 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.

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Course Objectives Back to Top
By the end of this course, learners will be able to:
 
  1. Understand how vector embeddings and similarity search work.
  2. Convert raw data into high-dimensional vectors using state-of-the-art embedding models.
  3. Choose and implement appropriate vector databases like FAISS, Weaviate, or Pinecone.
  4. Perform similarity search, filtering, and hybrid (keyword + vector) queries.
  5. Build end-to-end semantic search and RAG systems with GenAI models.
  6. Integrate vector search into SaaS, chatbots, and recommendation engines.
  7. Scale vector databases for millions of documents with fast retrieval.
  8. Optimize performance through quantization, pruning, and caching.
  9. Understand deployment strategies: self-hosted, managed, and serverless.
  10. Ensure compliance, security, and monitoring for real-world use.
Course Syllabus Back to Top
Course Syllabus
 
Module 1: Introduction to Vector Search
  • What is Vector Search?
  • Keyword vs. Semantic Retrieval
  • Applications: RAG, Chatbots, Product Search, etc.
Module 2: Understanding Embeddings
  • Word, Sentence, and Image Embeddings
  • OpenAI, Cohere, Hugging Face, SBERT
  • Dimensionality and Vector Similarity Metrics
Module 3: FAISS (Facebook AI Similarity Search)
  • Index Types: Flat, IVF, HNSW
  • Search, Filtering, and Re-ranking
  • Project: FAISS Document Index
Module 4: Pinecone Cloud Vector Database
  • Indexing and Namespaces
  • Metadata Filtering
  • Querying and Integration with OpenAI
Module 5: Weaviate and Hybrid Search
  • Schema Design and Class Configuration
  • Vector + BM25 Search
  • Semantic + Symbolic Ranking
Module 6: Qdrant and Milvus Basics
  • Indexing Strategies
  • Filtering and Scores
  • Deployment with Docker
Module 7: Project – Semantic Search Chatbot
  • Upload Documents
  • Chunk, Embed, Store
  • Retrieve & Generate Answer via LLM (RAG)
Module 8: Fine-Tuning Embeddings for Specific Domains
  • When to Fine-Tune
  • Techniques with SentenceTransformers
  • Project: Custom Legal Document Search
Module 9: Scaling and Optimization
  • Vector Compression
  • ANN Algorithms (HNSW, IVF)
  • Cost and Latency Optimization
Module 10: Deploying Vector Search Apps
  • API Wrapping with FastAPI
  • Deployment via Kubernetes or Serverless
  • Monitoring and Logging
Module 11: Use Cases and Architectures
  • Chatbots and Assistants (RAG)
  • AI-Powered Search Engines
  • AI Knowledge Base for SaaS
Module 12–14: Capstone Projects
 
  • Smart FAQ Engine with Weaviate
  • PDF + Audio Indexing with FAISS
  • Resume/CV Matcher for HR Tech
Certification Back to Top

Upon completion of the course, participants will receive a Certificate of Completion from Uplatz, validating their mastery of vector search principles and technologies. This certification is proof of your ability to design, build, and deploy intelligent, vector-based retrieval systems for semantic applications. Whether you're building RAG pipelines, AI search engines, or vector-enhanced SaaS features, this certificate demonstrates your deep technical expertise and readiness to implement production-grade vector solutions using leading tools like FAISS, Pinecone, Qdrant, and Weaviate.

Career & Jobs Back to Top
Vector search has become a core component of the AI stack, especially for those working with GenAI and intelligent automation. With the rise of retrieval-augmented generation (RAG) systems and semantic AI, demand for vector search skills is growing rapidly.
 
Roles you’ll be ready for:
  • AI Search Engineer
  • RAG Engineer
  • ML Engineer – Semantic Systems
  • Vector Database Architect
  • NLP Engineer
  • AI Infrastructure Specialist
Tech companies, SaaS vendors, LLM startups, and enterprise AI teams are all investing in semantic search and RAG platforms. By mastering vector search, you position yourself at the center of this new wave of AI-powered applications. The career opportunities include building chatbots, enterprise knowledge bases, intelligent assistants, and search solutions that go far beyond traditional keyword-based systems.
Interview Questions Back to Top
1. What is vector search and how is it different from keyword search?
Vector search retrieves items based on semantic similarity using embeddings, while keyword search uses exact or fuzzy text matches.
 
2. What are embeddings and why are they important in vector search?
Embeddings are numerical representations of text, images, or other data that capture semantic meaning, enabling similarity-based retrieval.
 
3. How does FAISS differ from Pinecone?
FAISS is a fast, local library for similarity search, ideal for self-hosting, while Pinecone is a managed, scalable cloud-based vector database with features like metadata filtering.
 
4. What is an Approximate Nearest Neighbor (ANN) algorithm?
ANN algorithms like HNSW or IVF trade off a bit of accuracy for speed, making them efficient for large-scale vector search.
 
5. How do you chunk and embed documents for vector search?
Documents are split into meaningful text chunks (sentences, paragraphs), then each chunk is embedded using a model like OpenAI or SBERT.
 
6. What is RAG and how does it relate to vector search?
RAG (Retrieval-Augmented Generation) combines vector search with language models to retrieve relevant context before generating responses.
 
7. What are hybrid search techniques?
Hybrid search combines keyword-based (BM25) and vector-based search to enhance accuracy and relevance.
 
8. How do you store metadata with vectors?
Vector databases like Weaviate or Qdrant allow storing additional metadata fields that can be used for filtering or scoring.
 
9. How can you optimize vector search performance?
Use quantization, approximate indexing, dimensionality reduction, and batch querying for better performance at scale.
 
10. What are typical use cases for vector search in enterprise AI?
Examples include document Q&A, semantic search engines, customer support automation, legal retrieval, recommendation systems, and chatbot memory systems.
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.
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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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