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AI-Powered Knowledge Management Systems using Enterprise Wikis + RAG
Learn to build intelligent, context-aware enterprise knowledge systems using Wikis integrated with Retrieval-Augmented Generation (RAG)
Course Duration: 10 Hours
Preview AI-Powered Knowledge Management Systems using Enterprise Wikis + RAG course
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AI-Powered Knowledge Management Systems using Enterprise Wikis + RAG – Online Course
This course, AI-Powered Knowledge Management Systems using Enterprise Wikis + RAG, is a cutting-edge training program designed for data professionals, enterprise architects, AI strategists, and knowledge engineers who want to modernize their organizational knowledge infrastructure. The course introduces learners to building smart, scalable, and interactive enterprise knowledge systems using enterprise wiki tools (like Confluence, Notion, or Docusaurus) and enriching them with AI capabilities through Retrieval-Augmented Generation (RAG) pipelines.
In today’s fast-paced digital enterprise, knowledge is scattered across documents, emails, wikis, chats, and files. Traditional enterprise wikis are often static, hard to search, and lack real-time intelligence. Enter AI-powered knowledge management systems—tools that combine structured enterprise content (such as wikis and documentation) with AI models that can retrieve, summarize, and generate human-like answers dynamically.
This course offers a comprehensive journey: from designing and organizing scalable enterprise wiki structures to integrating them with RAG-based architectures, allowing real-time, context-aware question answering using LLMs. You'll explore tools like LangChain, LlamaIndex, vector databases (e.g., FAISS, Pinecone), and embedding models that make your documentation “talk back” intelligently.
What is AI-Powered Knowledge Management using Enterprise Wikis + RAG?
It's the practice of combining human-curated wiki content (policies, SOPs, tech docs, onboarding guides) with AI systems capable of intelligently responding to user queries. By embedding and indexing the content into a vector store and combining it with a language model via a RAG architecture, the system provides contextual, up-to-date, and domain-specific answers—dramatically improving productivity and self-service.
How to Use This Course Effectively
To get the best from this course:
- Start with Fundamentals: Begin by understanding the components—wikis, embeddings, RAG pipelines.
- Build Step by Step: Follow along with code demos to build the RAG pipeline using your own wiki content.
- Apply to Your Domain: Experiment with real documents from your organization to customize the AI responses.
- Participate in Discussions: Share your use cases in forums to get feedback and improve your implementation.
- Revisit and Refactor: Iterate on your system with newer models and tools as LLMs evolve rapidly.
By the end, you'll be able to architect, build, and deploy an AI-enhanced enterprise wiki system tailored to your organization’s needs.
Course/Topic 1 - Coming Soon
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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.
Course Objectives Back to Top
By the end of this course, you will be able to:
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Understand the core concepts of knowledge management and its challenges in large organizations.
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Structure enterprise wikis for optimal navigation, scalability, and machine understanding.
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Explain the Retrieval-Augmented Generation (RAG) architecture and how it enhances LLM-based systems.
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Build a vector-based document retrieval pipeline using tools like FAISS, Chroma, or Pinecone.
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Use embedding models to convert unstructured documents into searchable vector representations.
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Integrate enterprise wikis with RAG pipelines using LangChain and LlamaIndex.
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Implement conversational interfaces for knowledge querying using OpenAI/GPT models or open-source LLMs.
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Evaluate and tune RAG systems for response accuracy, latency, and hallucination mitigation.
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Deploy AI-powered knowledge assistants via web apps or enterprise chat platforms (Slack, MS Teams).
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Ensure compliance, access control, and security in AI-powered enterprise search systems.
Course Syllabus Back to Top
Course Syllabus
Module 1: Introduction to Knowledge Management in the Enterprise
- Traditional vs. AI-enhanced knowledge management
- Limitations of static wikis
- What is intelligent search?
Module 2: Enterprise Wiki Systems Overview
- Confluence, Notion, Docusaurus, MediaWiki
- Best practices for organizing enterprise knowledge
- Wiki API access and data export
Module 3: Introduction to RAG (Retrieval-Augmented Generation)
- RAG architecture explained
- Components: Retriever + Generator
- Comparing RAG vs. fine-tuning LLMs
Module 4: Working with Embeddings
- What are embeddings?
- OpenAI, Hugging Face, Cohere embedding APIs
- Chunking strategies and preprocessing wiki content
Module 5: Vector Databases
- FAISS, Chroma, Pinecone, Weaviate
- Creating and managing vector indexes
- Metadata tagging for filtering
Module 6: Building a RAG Pipeline
- LangChain and LlamaIndex basics
- Document loaders and retrievers
- Connecting LLMs (OpenAI, Claude, Mistral)
Module 7: Enhancing Wiki with Conversational AI
- Implementing Q&A bots over wiki content
- Customizing prompt templates and retrieval parameters
- Streaming and memory management
Module 8: UI and Deployment
- Creating a chatbot interface (Streamlit, Flask, or React)
- Integrating with enterprise tools (Slack, Teams)
- Deploying on cloud (GCP, AWS, Azure)
Module 9: Evaluation, Monitoring, and Feedback Loops
- Testing for hallucination, latency, and coverage
- RAGEval, PromptLayer, LangSmith usage
- Logging and error tracking
Module 10: Governance and Security
- Role-based access to documents
- Redaction and content filtering
- Compliance and audit trails
Module 11: Capstone Project
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Build an AI-powered knowledge base for HR, IT, or Sales
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Deploy to internal company portal
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Demonstrate end-to-end RAG implementation
Certification Back to Top
Upon successful completion, learners will receive a Certificate of Completion from Uplatz that recognizes their expertise in building AI-Powered Knowledge Management Systems. This certificate validates your understanding of enterprise wiki design, RAG architecture, vector database implementation, and LLM integration. It signifies your ability to not only understand theoretical concepts but also apply them in real-world enterprise environments. The certification is a testament to your skill in modern enterprise AI systems and will add value to your professional profile on platforms like LinkedIn and job resumes. It is especially relevant for professionals pursuing roles in AI strategy, enterprise knowledge engineering, IT automation, and intelligent documentation systems.
Career & Jobs Back to Top
The need for AI-powered knowledge systems is growing rapidly across sectors—corporate knowledge bases, HR documentation, IT troubleshooting guides, and product support FAQs are all being modernized using intelligent, search-enhanced AI tools.
After completing this course, you’ll be equipped for roles such as:
- AI Knowledge Engineer
- Enterprise Architect (AI Systems)
- Conversational AI Developer
- RAG Pipeline Engineer
- Technical Documentation Analyst
- Intelligent Search System Specialist
- AI Product Manager (Knowledge Ops)
Organizations including large enterprises, SaaS companies, consulting firms, and government bodies are increasingly adopting intelligent documentation tools. Your ability to bridge traditional documentation with modern AI capabilities will place you at the forefront of this transformation.
Freelance consultants and AI startups can also benefit from this skill, offering customized solutions for industries like healthcare, law, finance, and education—where search accuracy and document understanding are critical.
Interview Questions Back to Top
1. What is a Retrieval-Augmented Generation (RAG) system?
RAG combines document retrieval with a generative model to provide context-aware, accurate answers. It retrieves relevant documents and feeds them into an LLM to generate responses.
RAG combines document retrieval with a generative model to provide context-aware, accurate answers. It retrieves relevant documents and feeds them into an LLM to generate responses.
2. How do enterprise wikis integrate with RAG pipelines?
Wikis can be exported or accessed via API, chunked into text segments, embedded into vectors, stored in a database, and retrieved for RAG-based question answering.
Wikis can be exported or accessed via API, chunked into text segments, embedded into vectors, stored in a database, and retrieved for RAG-based question answering.
3. What are embeddings, and why are they used in knowledge systems?
Embeddings are vector representations of text that capture semantic meaning, enabling similarity searches for document retrieval.
Embeddings are vector representations of text that capture semantic meaning, enabling similarity searches for document retrieval.
4. Which tools can be used to build a RAG pipeline?
LangChain, LlamaIndex, OpenAI, Hugging Face Transformers, FAISS, Pinecone, and Chroma are commonly used tools.
LangChain, LlamaIndex, OpenAI, Hugging Face Transformers, FAISS, Pinecone, and Chroma are commonly used tools.
5. What are the challenges in AI-enhanced knowledge management?
Key challenges include document chunking strategy, hallucination risk, data freshness, access control, and system latency.
Key challenges include document chunking strategy, hallucination risk, data freshness, access control, and system latency.
6. How does a vector database help in RAG?
It stores embedded documents and enables fast similarity search to retrieve relevant chunks for LLMs.
It stores embedded documents and enables fast similarity search to retrieve relevant chunks for LLMs.
7. What is the role of LangChain in this ecosystem?
LangChain orchestrates LLMs, retrievers, vector stores, prompts, and tools—making it easier to build modular RAG apps.
LangChain orchestrates LLMs, retrievers, vector stores, prompts, and tools—making it easier to build modular RAG apps.
8. Can you use open-source LLMs for enterprise knowledge systems?
Yes, models like Mistral, Falcon, and LLaMA can be fine-tuned or integrated into RAG systems, depending on the domain and requirements.
Yes, models like Mistral, Falcon, and LLaMA can be fine-tuned or integrated into RAG systems, depending on the domain and requirements.
9. What is the difference between RAG and fine-tuning?
RAG uses retrieval of external knowledge in real time, while fine-tuning permanently alters the LLM’s internal weights with specific data.
RAG uses retrieval of external knowledge in real time, while fine-tuning permanently alters the LLM’s internal weights with specific data.
10. How do you secure sensitive content in an AI-powered knowledge system?
By applying role-based access, encryption, filtering outputs, and auditing usage with logging and compliance tools.
By applying role-based access, encryption, filtering outputs, and auditing usage with logging and compliance tools.
Course Quiz Back to Top
FAQs
Back to Top
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.
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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.