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RAG with LangChain Course in Chennai

Rated 5 out of 5

Infibee Technologies offers India’s Industry oriented RAG with LangChain Training in Chennai with Live Projects & Industry-Focused Training and global certification support.

Unlock your career with our RAG with LangChain Course in Chennai, is designed by 13+ years of industry-experienced experts with practical knowledge through real time projects, case studies and assignment. Get affordable fees, hands-on mock projects, resume preparation, interview preparation, placement training, and lifetime access to recorded live-class sessions.

Join our RAG with LangChain Training Institute in Chennai and build your career in RAG with LangChain, opening doors to high-paying job opportunities in top-tier companies.

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RAG with LangChain Course Overview

Retrieval-Augmented Generation (RAG) with LangChain is a methodology in the field of artificial intelligence that integrates information retrieval with large language models (LLM) in the production of answers with the help of relevant outside data. LangChain provides frameworks and components for connecting language models with documents, databases, vector stores, retrievers, and application workflows. A RAG with LangChain Course in Chennai introduces learners to the concepts and practical techniques required to build applications that can retrieve relevant information and use it to generate context-aware responses.

The aim of the course on RAG with LangChain Classes in Chennai is to teach learners (students, developers, and AI experts) about the design, implementation, testing, and incorporation of RAG pipelines into real-world applications. Participants will get educational insights about document processing, embeddings, vector databases, retrieval techniques, prompt engineering, and LLM incorporation.

The importance of a RAG with LangChain Course in Chennai lies in its practical relevance to modern generative AI development. RAG can help applications work with organization-specific or frequently changing information instead of relying only on a model’s pre-trained knowledge. As a result of hands-on learning, participants of the program will be able to acquire skills that can be put into practice while working with AI assistants, enterprise search systems, document answering, knowledge base systems, and other smart applications.

Course Topics Covered Applications Tools & Technologies
RAG fundamentals, LLM concepts, LangChain basics, document loading, text splitting, embeddings AI chatbots, document Q&A, knowledge assistants LangChain, Python, LLMs
Retrieval pipelines, vector search, retrievers, prompt engineering Enterprise knowledge search, semantic search Vector databases, embeddings, prompts
RAG architecture, indexing, querying, context management Customer support assistants, internal information systems Chroma, FAISS, LangChain
Advanced retrieval, evaluation, optimization, and RAG workflows Research assistants, content-based AI applications LLM APIs, LangSmith, Python
Deployment concepts and application integration Production-oriented GenAI applications APIs, LangChain integrations, cloud platforms

Why Choose Infibee Technologies for a RAG with LangChain Course in Chennai?

  • Industry-experienced trainers
  • Practical RAG and LangChain learning
  • Hands-on projects and mock projects
  • Python and Generative AI integration
  • RAG pipeline development
  • Vector database concepts
  • LLM application development
  • Prompt engineering practice
  • Resume preparation
  • Interview preparation
  • Placement-oriented training
  • Mock interview sessions
  • Recorded live-class sessions
  • Lifetime access to recorded sessions
  • Affordable course options
  • Beginner-friendly learning approach
  • Real-world use-case exposure
  • Certification support
  • Learning support from trainers
  • Career-focused skill development

RAG with LangChain Training Institute in Chennai – Get Certified with Infibee Technologies

Located at the heart of Chennai, Infibee Technologies is a technology training provider associated and offers skill-focused learning opportunities for students, working professionals, and aspiring technology practitioners. For learners interested in RAG with LangChain Training in Chennai, the training approach can focus on developing practical programming skills alongside an understanding of modern Generative AI applications.

The Retrieval-Augmented Generation with LangChain training in Chennai is designed to teach how Retrival Augmented Generation interacts with large language models, document data, embeddings, retrieval processes, vector databases, and operations built on LangChain. The focus on applied learning allows the students to gain hands-on experience with real-life AI development practices.

Infibee Technologies offers a job-oriented syllabus that includes essential programming skills, AI module development, project assignments, and interview preparation. By engaging in practical exercises, learners will acquire skills necessary for creating and testing AI applications.

Trainer Experience

Trainer experience and expertise relevant to Generative AI, RAG, LangChain, Python, and practical AI application development.

Real-Time Project Exposure

Hands-on projects can help learners understand practical RAG pipelines, AI agent workflows, retrieval systems, application integration, and real-world development scenarios.

Certification / Company Background

Infibee Technologies provides technology-focused learning resources and training; course certification details should be confirmed directly with the institute before enrollment.

Affordable Course Fees

Course fees are structured to provide learners with an accessible training option while covering practical RAG, LangChain, programming, projects, and career-focused learning.

Teaching Methodology

Instructor-led sessions, practical demonstrations, hands-on exercises, projects, doubt clarification, mock interviews, and interview preparation support practical and structured learning.

Certification

Learners can receive course certification from Infibee Technologies upon meeting the applicable course requirements. Certification details, eligibility, assessment process, and issuing authority should be confirmed before enrollment.

Modes of RAG with LangChain Training in Chennai

  • Classroom Training
  • Online Training
  • Corporate Training
  • Self-Placed Training

Global Certifications Available for RAG with LangChain Training in Chennai

Serial Number Certification Code Cost Certification Expiry
1 LCAE – LangChain Certified Agent Engineer US$99 ≈ ₹9,506* 24 months
2 Hugging Face Agents Course – Certificate of Fundamentals of Agents Free Not specified by Hugging Face
3 LangChain Academy Course Certificates Free for applicable Academy courses Not specified

Who Can Join?

The RAG with LangChain Course in Chennai can be suitable for learners who want to develop practical skills in Retrieval-Augmented Generation, LLM applications, and AI-agent development.

  • Python developers
  • Software developers
  • AI/ML professionals
  • Machine learning engineers
  • Data scientists
  • NLP professionals
  • Generative AI enthusiasts
  • Backend developers
  • Full-stack developers
  • Recent graduates with programming knowledge
  • Engineering and computer-science students
  • Working professionals transitioning toward Generative AI
  • Professionals seeking hands-on experience with RAG and LangChain
  • Entrepreneurs and technical professionals exploring AI applications

A basic understanding of Python, programming concepts, APIs, and machine-learning or LLM fundamentals can make the learning process easier.

Career Opportunities in RAG with LangChain

Job Role Typical Focus
Generative AI Engineer LLM-powered applications and GenAI solutions
RAG Engineer Retrieval pipelines, embeddings, vector search, and grounded generation
AI Agent Engineer Tool-using agents, workflows, planning, and orchestration
LLM Application Developer Applications integrating LLMs with business systems
AI/ML Engineer Machine-learning and production AI systems
NLP Engineer Language processing, retrieval, and conversational systems
Machine Learning Engineer Model development, deployment, and optimization
Generative AI Solutions Architect Enterprise GenAI and agentic-AI architecture
AI Application Engineer Production applications using LLMs, APIs, and AI frameworks
Agentic AI Developer Multi-step AI workflows, tools, memory, and agent integration
AI Platform Engineer Infrastructure, deployment, evaluation, and monitoring for AI systems

Who’s Hiring Advanced RAG with LangChain Professionals?

  • Amazon
  • Accenture
  • Tata Consultancy Services (TCS)
  • Wipro
  • Infosys
  • IBM
  • Weekday

Can I Study RAG with LangChain in Other Locations?

Learners in these locations can explore available classroom or online training options from Infibee Technologies, subject to the institute’s actual schedule, location availability, and course delivery options.

How to Register for the RAG with LangChain Course in Chennai at Infibee Technologies?

Step 1: Contact Infibee Technologies

Reach out to the institute to request current course information, syllabus, fees, schedule, and available training modes.

Step 2: Attend a Demo or Discuss the Course

If a demo session is currently available, attend it and discuss your learning objectives, prerequisites, projects, and certification options with the training team.

Step 3: Confirm Your Enrollment

After reviewing the course details and schedule, complete the institute’s registration process and begin your RAG with LangChain training.

Enroll Today: Unlock Your RAG with LangChain Training in Chennai Potential

If you are interested in developing practical skills in RAG, LangChain, LLM applications, and AI agents, contact Infibee Technologies to discuss the current RAG with LangChain Course in Chennai schedule, fees, training mode, and certification options. Attend a demo if available and choose a learning path that matches your career goals.

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Upcoming RAG with LangChain Batches

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Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
[dateshortCodeCi day=' wednesday ' ]
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
[dateshortCodeCi day=' Friday ' ]
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

RAG with LangChain Course Syllabus

Learn to build production-ready Retrieval-Augmented Generation (RAG) applications using LangChain and modern LLM technologies. Master document processing, embeddings, vector databases, retrieval strategies, prompt engineering, and conversational RAG workflows. Build real-world AI applications using LangChain, LLMs, vector stores, evaluation techniques, and deployment best practices.

  • Introduction to Generative AI and Large Language Models
  • LLM architecture and capabilities
  • What is RAG?
  • RAG architecture and workflow
  • RAG vs. fine-tuning
  • Real-world RAG use cases
  • Introduction to LangChain
  • LangChain architecture and ecosystem
  • Models, prompts and messages
  • Chains and runnable components
  • LangChain Expression Language (LCEL)
  • Building a basic LLM application
  • Loading PDFs, Word, CSV and web data
  • LangChain document loaders
  • Text cleaning and preprocessing
  • Document metadata
  • Handling large document collections
  • Data preparation for RAG
  • Why document chunking matters
  • Recursive and semantic text splitting
  • Chunk size and overlap optimization
  • Embedding fundamentals
  • Open-source and API-based embedding models
  • Measuring embedding similarity
  • Vector database fundamentals
  • FAISS, Chroma and other vector stores
  • Creating and storing embeddings
  • Similarity search
  • Metadata filtering
  • Building retrievers with LangChain
  • Creating a complete RAG pipeline
  • Retriever and document chain
  • Prompt templates
  • Context injection
  • Answer generation
  • Source-document retrieval
  • Building a basic RAG chatbot
  • Semantic vs. keyword search
  • Hybrid retrieval
  • Multi-query retrieval
  • Query rewriting
  • Contextual compression
  • Reranking
  • Parent-document retrieval
  • Conversational RAG architecture
  • Chat history and memory concepts
  • LangChain agents
  • Tool calling
  • Agentic retrieval workflows
  • Multi-step question answering
  • Building intelligent AI assistants
  • RAG evaluation fundamentals
  • Retrieval and response quality metrics
  • Hallucination reduction
  • RAG evaluation with modern frameworks
  • Prompt injection and data security
  • Latency and cost optimization
  • Production troubleshooting
  • Building RAG APIs
  • FastAPI integration
  • Docker and deployment concepts
  • Monitoring and observability
  • Scaling RAG applications
  • Enterprise RAG architecture
  • Multimodal and Agentic RAG trends
  • Capstone project implementation
Need customized curriculum?
Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

Hands On RAG with LangChain Projects

Enroll in our RAG with LangChain classes, where our course focuses on providing high-quality training with a strong foundation in core concepts and a practical approach. Through exposure to current industry use cases and scenarios, participants will enhance their skills and gain the ability to execute real-time projects using best practice

PDF Document Q&A Chatbot with LangChain

  • Upload and process multiple PDF documents
  • Implement document chunking and embeddings
  • Store embeddings in a vector database
  • Build a LangChain RAG pipeline
  • Generate context-grounded answers with source references

Enterprise Knowledge Base Assistant

  • Integrate multiple enterprise documents and data sources
  • Implement semantic and hybrid retrieval
  • Add metadata-based filtering
  • Implement conversational question answering
  • Evaluate and optimize retrieval accuracy

Agentic RAG Research Assistant

  • Build an intelligent LangChain-based agent
  • Combine RAG with external tools and knowledge sources
  • Implement query planning and multi-step retrieval
  • Add tool calling and structured responses
  • Deploy the application as a production-ready AI assistant

For Corporates

Educate your workforce with new skills to improve their performance and productivity.

Corporate Training
"Leading Companies We've Served"
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Our Instructor
Name
Mr. Krishnan
Experience
7+ Years
Specialized in
Specialized in Generative AI, LangChain, RAG, Large Language Models, AI Agents, Vector Databases, Prompt Engineering, and production-grade AI application development.
More Details
The trainer specializes in developing practical Generative AI applications using LangChain, LLMs, RAG architectures, and AI agents. Training combines conceptual learning with hands-on coding, real-world architecture, debugging, evaluation, and deployment practices. Participants gain practical experience by developing multiple end-to-end projects aligned with modern 2026 AI application development.

RAG with LangChain Training Objectives

Our Best RAG with LangChain Training aims to empower participants with comprehensive skills and practical knowledge in this field. Objectives include mastering core concepts, applying skills through real-world projects, critical thinking, and tackling professional challenges. This enhances career development and contributes to industry advancement.

Basic to intermediate Python knowledge is recommended for this course. You should be comfortable with variables, functions, classes, APIs, packages, and basic programming concepts. Advanced Machine Learning knowledge is not mandatory because the RAG concepts are taught step by step.

The course covers LangChain, LLMs, embedding models, vector databases, retrievers, prompt templates, and AI agents. It also introduces technologies and techniques such as FAISS, Chroma, hybrid search, reranking, and RAG evaluation. The technology stack can be adapted to current models and LangChain ecosystem developments during 2026.

You will build three practical applications: a PDF Q&A Chatbot, an Enterprise Knowledge Base Assistant, and an Agentic RAG Research Assistant. The projects cover document processing, vector search, conversational RAG, advanced retrieval, and LangChain agents.

RAG is an AI application architecture that retrieves relevant information before generating an answer. LangChain is a framework/toolkit that provides components for building RAG pipelines and other LLM applications. In simple terms, RAG describes the approach, while LangChain can be used to implement that approach.

Yes, LangChain can be used to develop applications such as knowledge assistants, document chatbots, customer-support systems, and research tools. Production systems require additional attention to security, evaluation, monitoring, scalability, latency, and cost.

Yes, the course is structured to take learners from RAG fundamentals to advanced LangChain implementations. Participants progressively learn LLMs, embeddings, vector databases, retrieval, chains, agents, and evaluation.

Job Assistance Program

Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.

Specialised Curriculum
Get on-field knowledge and skills from our expert instructors.
Assessment
Upgrade your on-field skills with our assessments and track your progress in real time.
Hands-on Project
Our hands-on project help you gain experience in real-time working.
Certification Guidance
A global certificate always helps you stand out from the crowd.
Portfolio Building
Experts guide you to maximise your profile with current industry trends that employers expect.
Placment Cell
We promote your abilities and showcase your portfolio to employers.

RAG with LangChain Career Opportunity

RAG with LangChain is the most common programming language, and it works on all computers and mobile devices without needing to be upgraded. It is one of the highest-paying careers in the software development industry, and those with the RAG with LangChain certification can earn an average of  8 LPA per year.

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Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.

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RAG with LangChain Training FAQ's

Infibee RAG with LangChain Training offers wide range of services that suits for both fresher and experienced persons via both offline and online at your suitable time slots.

You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.

Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.

We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.

Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.

Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.

We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.

Yes, we offer customisation of the syllabus for both individual candidates and corporate also.

Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.

Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.

In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.

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