AI Search & RAG Course in Bangalore

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25 hrs of E-Learning Videos
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AI Search & RAG Course Overview

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Upcoming AI Search & RAG Batches

21-09-2026
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
23-09-2026
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
25-09-2026
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

AI Search & RAG Course Syllabus

This practical AI Search & RAG Training program covers modern search systems, embeddings, retrieval techniques, and Retrieval-Augmented Generation (RAG). Participants will learn to build intelligent search and question-answering applications using LLMs, vector databases, hybrid search, and reranking. The training combines concepts, hands-on labs, real-world use cases, and end-to-end projects for practical AI development.

  • Evolution of search: keyword to semantic search
  • What is AI Search?
  • What is Retrieval-Augmented Generation?
  • RAG architecture and workflow
  • RAG vs. fine-tuning
  • Real-world applications
  • Document loading and parsing
  • PDF, Word, HTML, and text processing
  • Text cleaning and normalization
  • Document metadata
  • Tokenization concepts
  • Preparing data for retrieval
  • Understanding embeddings
  • Text embedding models
  • Semantic similarity
  • Cosine similarity and vector distance
  • Query embeddings
  • Building semantic search pipelines
  • Vector database fundamentals
  • Pinecone, Milvus, Chroma, FAISS, and Weaviate
  • Collections, indexes, and metadata
  • Approximate Nearest Neighbor search
  • HNSW and indexing concepts
  • Vector database integration
  • Complete RAG architecture
  • Document ingestion pipeline
  • Chunking strategies
  • Embedding generation
  • Retrieval pipeline
  • Context construction
  • Connecting retrieved context to LLMs
  • Keyword search vs. semantic search
  • Hybrid search
  • Metadata filtering
  • Query expansion
  • Multi-query retrieval
  • Parent-child and contextual retrieval
  • Reranking techniques
  • LLM integration for RAG
  • LangChain
  • LlamaIndex
  • Prompt templates
  • Retrieval chains
  • Conversational RAG
  • Managing conversation context
  • Multi-step retrieval
  • Query routing
  • Self-query retrieval
  • Agentic RAG concepts
  • Tool-based search
  • Knowledge graphs with RAG
  • Multimodal RAG fundamentals
  • Retrieval evaluation
  • Answer quality evaluation
  • Precision, recall, and relevance
  • RAG evaluation frameworks
  • Hallucination reduction
  • Prompt injection and data security
  • Latency and cost optimization
  • Production RAG architecture
  • API development
  • Monitoring and logging
  • Scaling AI search systems
  • Caching and performance optimization
  • Deployment strategies
  • Industry use cases and best practices
Need customized curriculum?
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Hands On AI Search & RAG Projects

Enroll in our AI Search & RAG 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

AI-Powered Enterprise Document Search

  • Upload and process enterprise documents
  • Generate embeddings and create a searchable knowledge base
  • Implement semantic and keyword search
  • Add metadata-based filtering
  • Build an AI-powered search interface

RAG-Based Intelligent Knowledge Assistant

  • Build a complete document ingestion pipeline
  • Implement chunking and embedding generation
  • Connect a vector database with an LLM
  • Build contextual question answering
  • Add conversational memory and source references

Advanced Agentic RAG Search Platform

  • Design an advanced RAG architecture
  • Implement hybrid search and reranking
  • Add query routing and multi-step retrieval
  • Integrate tools and external knowledge sources
  • Evaluate, optimize, and deploy the application

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. Murali
Experience
11+ Years
Specialized in
Specialized in Generative AI, AI Search, RAG, LLMs, Vector Databases, Embeddings, LangChain, LlamaIndex, and Agentic AI.
More Details
The instructor is an experienced AI professional specializing in Generative AI, intelligent search, RAG architectures, and LLM-based applications. The training emphasizes practical implementation using modern AI frameworks, retrieval technologies, vector databases, and production architectures. Participants receive hands-on guidance through labs, real-world scenarios, troubleshooting exercises, and end-to-end AI projects.

AI Search & RAG Training Objectives

Our Best AI Search & RAG 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.

RAG combines information retrieval with a Large Language Model to generate answers using relevant external information. Documents are processed and indexed so that relevant content can be retrieved when a user asks a question. The retrieved context is then provided to the LLM to generate a more grounded response.

RAG retrieves information from an external knowledge source at query time and provides it to the LLM as context. Fine-tuning modifies a model’s learned behavior using additional training data. RAG is particularly useful when the knowledge base changes frequently or needs source-based retrieval.

You will learn embeddings, semantic search, vector databases, hybrid retrieval, reranking, and RAG architectures. The course also covers LangChain, LlamaIndex, LLM integration, RAG evaluation, security, and optimization. Hands-on projects provide experience building complete AI search and RAG applications.

The training can cover vector databases such as Pinecone, Milvus, Chroma, FAISS, and Weaviate. Modern AI frameworks such as LangChain and LlamaIndex are used for building retrieval and RAG pipelines. The exact tools can be adapted to the project requirements and current enterprise technology stack.

RAG gives an LLM relevant information retrieved from a defined knowledge source before generating an answer. This can improve factual grounding when retrieval is accurate and the model follows the supplied context. However, RAG does not eliminate hallucinations, so retrieval and generation quality must be evaluated separately.

You will build an AI-powered enterprise document search system, a RAG-based knowledge assistant, and an advanced agentic RAG platform. The projects cover document processing, embeddings, vector search, hybrid retrieval, reranking, and LLM integration. You will also work with evaluation, optimization, security, and production deployment concepts.

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.

AI Search & RAG Career Opportunity

AI Search & RAG 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 AI Search & RAG certification can earn an average of  8 LPA per year.

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Placement Guidance & Interview Preparation

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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I enrolled in the SAP ANALYTICS CLOUD course at Infibee Technologies and the classes were very well structured. The trainers possess industry experience and they delivered effective assistance with both resume creation and job placement services. This institution serves as the topmost educational center for SAP training courses.
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I recently completed the SAP CO-PA course at Infibee Technologies and had a great experience. The training quality was excellent, and the trainers were friendly, knowledgeable, and very supportive. They also provided valuable help with interview preparation and resume building, which boosted my confidence. With affordable fees and strong support, I highly recommend this institute for SAP training.
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The Oracle Flexcube course at Infibee Technologies provided me with practical knowledge through its educational sessions. The trainer explained all concepts clearly and the placement support was very helpful. The program provides excellent Oracle training according to my assessment.
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I learned SAP FSCD Course at Infibee Technologies and it was very helpful. Trainers provide real-time examples and excellent placement support. Highly recommended institute!
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I completed the Workday HR course at Infibee Technologies and the training was really helpful for my career growth. The trainers support students by providing simple explanations which include real-world examples of every topic. Highly recommended to join now.
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I graduated without an IT background, but Infibee has helped me advance my career as a data scientist. Here, mentors are very helpful. With the right guidance and dedication, you can achieve your dreams. Self-study is also crucial if you want to stand out from the crowd and seize your opportunities.Companies frequently visit Infibee for placements and take some incredible talent with them.
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AI Search & RAG Training FAQ's

Infibee AI Search & RAG 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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