RAG Training in Bangalore
Learn practical Retrieval-Augmented Generation with embeddings, vector databases, LangChain, retrieval, reranking, evaluation and production-ready RAG workflows with Technovids from Bengaluru.
RAG Training Bangalore — Quick Facts
| Item | Details |
|---|---|
| Training | RAG Training in Bangalore — Retrieval-Augmented Generation |
| Location served | Bangalore (Bengaluru), Karnataka, India |
| Office support | HSR Layout, Bengaluru — counselling and consultation |
| Delivery mode | Live online instructor-led · Blended learning |
| Best suited for | Developers, Python learners, data scientists, data engineers, AI engineers, corporate AI teams |
| Key topics | RAG pipeline, embeddings, vector databases, retrieval, reranking, evaluation, production RAG |
| Tools covered | LangChain, Chroma, Pinecone, FAISS, OpenAI/Anthropic embeddings, Python |
| Projects / exercises | PDF Q&A assistant, company knowledge bot, policy search, RAG with citations |
| Corporate option | Yes — customised corporate RAG training for Bangalore teams |
| Contact | corporate@technovids.com · +91 86183 46384 · WhatsApp available |
Why Learn RAG in Bangalore?
Bangalore AI teams are moving from GenAI usage to AI application development
Developers and data professionals across Bangalore have explored ChatGPT and basic GenAI tools. The next step is building AI systems that answer from company knowledge — product docs, internal wikis, customer support databases — which requires RAG.
RAG powers enterprise AI assistants, not just chatbots
Enterprise AI systems that search internal documents, answer from SOPs, or retrieve from customer databases all rely on RAG. Understanding the full pipeline — ingestion, chunking, embeddings, retrieval, evaluation — is essential for building reliable systems.
Hallucination is a solved problem in RAG — with the right architecture
LLMs hallucinate when they lack context. RAG solves this by grounding every answer in retrieved passages. Learning RAG means learning how to build AI systems that cite sources, respect access controls, and give verifiable answers.
RAG is the foundation for most enterprise AI applications in India
From BFSI to healthcare to manufacturing, companies across India's technology ecosystem are building internal knowledge systems. RAG training positions Bangalore developers and teams to build and architect these systems from day one.
What You Will Learn
A practical, code-first RAG curriculum — from fundamentals through production deployment patterns.
RAG Fundamentals
What RAG is, why it exists, and how it solves the context-window and hallucination limitations of LLMs.
RAG Pipeline Architecture
End-to-end pipeline — ingestion, chunking, embedding, indexing, retrieval, augmentation, generation.
Document Ingestion and Preprocessing
Load PDFs, Word docs, web pages, CSVs, and structured data into the RAG pipeline using LangChain loaders.
Chunking Strategies
Fixed-size, recursive, semantic, and sentence-window chunking — tradeoffs and when to use each.
Embeddings
Text-to-vector conversion, embedding models (OpenAI, sentence-transformers), and embedding quality.
Vector Databases
Chroma, Pinecone, and FAISS — how vector stores work, indexing strategies, and similarity search.
Semantic Search and Retrieval
Cosine similarity, top-k retrieval, MMR, and how the retriever selects relevant context passages.
Metadata Filtering
Filter retrieved results by document source, date, category, or access level for enterprise deployments.
Hybrid Search Basics
Combine dense vector search with sparse keyword search for better retrieval coverage.
LangChain for RAG
Build complete RAG chains using LangChain — loaders, splitters, embeddings, vector stores, retrievers, and chains.
Prompting with Retrieved Context
Write RAG prompts that ground the LLM in retrieved passages, format citations, and reduce hallucination.
RAG Evaluation
Faithfulness, answer relevance, context precision — evaluate and improve your RAG pipeline systematically.
Production RAG Best Practices
Reranking, query transformation, chunk-level access control, response caching, and cost management.
Security and Access Control Basics
User-level document filtering, preventing data leakage, and enterprise access control patterns in RAG.
Practical RAG Projects and Exercises
Every module is reinforced with a working RAG project you can extend for your own use case.
PDF Q&A Assistant
Build a RAG application that answers questions from uploaded PDF documents using LangChain and a vector store.
Learn more →Company Knowledge Assistant
Create an internal knowledge assistant that retrieves answers from company documentation with source citations.
Learn more →Customer Support Knowledge Bot
Build a RAG-powered support bot that answers from FAQs, product docs, and policy documents.
Policy Document Search Assistant
Design a RAG assistant that retrieves and summarises relevant policy sections with page references.
Vector Search Demo
Implement semantic search with Chroma or Pinecone — embed a document corpus and query for similar passages.
Learn more →RAG Answer with Citations
Build a RAG chain that returns grounded answers with formatted source citations and confidence indicators.
Learn more →Basic Production RAG Workflow
Add reranking, query reformulation, and evaluation metrics to a RAG pipeline for production readiness.
Learn more →Who Should Join in Bangalore?
RAG Training is designed for technical learners — basic Python knowledge is recommended for the practical projects.
Software Developers
Add RAG to your AI application development toolkit — from concept to working Python application.
Python Developers
Build your first LangChain RAG pipeline with embeddings, vector stores, and retrieval chains.
Data Scientists
Apply retrieval and embedding techniques to build AI systems that answer from your data.
Data Engineers
Learn document ingestion, chunking pipelines, vector store management, and production data flows.
AI Engineers
Deepen RAG expertise — advanced retrieval, reranking, evaluation, and production deployment patterns.
Data Analysts (Technical)
Build RAG-powered analysis assistants that answer from internal reports and structured data.
Technical Managers
Understand RAG deeply enough to architect enterprise AI assistant projects and evaluate vendor solutions.
Corporate AI Teams
Train your Bangalore team to build RAG-powered enterprise knowledge bases and AI assistants.
Startup Founders (Technical)
Build the retrieval backbone of your AI product — knowledge bases, search, and Q&A systems.
RAG Training Bangalore vs AI Engineering Course Bangalore
Focused RAG depth vs the full AI engineering curriculum — choose based on your immediate goal.
| Criteria | RAG Training Bangalore | AI Engineering Course Bangalore |
|---|---|---|
| Audience | Developers, data professionals, AI engineers | Developers, engineers, Python learners |
| Scope | RAG-focused deep dive | Full AI engineering curriculum |
| RAG depth | Complete — all RAG modules | RAG as one of several core modules |
| Other AI topics | None — RAG only | AI agents, LangGraph, MCP, FastAPI, deployment |
| Tools | LangChain, vector DBs, embeddings | LangChain, LangGraph, MCP, FastAPI, cloud |
| Project complexity | RAG applications — Q&A, search, citations | 5 production AI systems including RAG |
| Best suited for | Teams building RAG-powered applications now | Developers wanting the full AI engineering stack |
| Natural next step | AI Engineering Course Bangalore for broader AI skills | Production AI Engineering programme |
Want the full AI engineering curriculum? Explore the AI Engineering Course Bangalore →
RAG Training Bangalore vs RAG Training India
Same training content — the difference is local Bangalore support and in-person access.
| Criteria | RAG Training Bangalore | RAG Training India |
|---|---|---|
| Geography | Bangalore-specific — Bengaluru, Karnataka | India-wide — all cities |
| Office support | HSR Layout, Bengaluru — in-person consultation | Online only |
| Delivery | Live online + Bangalore office support | Live online nationally |
| Corporate option | Bangalore on-site team training available | India-wide corporate delivery |
| Local batches | Bangalore-timezone cohorts with local scheduling | National cohorts |
| Who it is for | Bangalore-based learners and companies | Learners across India |
Outside Bangalore? Explore RAG Training India →
Book Your Free RAG Training Consultation
Tell us your background, current tech stack, and what you want to build with RAG. We will get back within one business day to schedule your free 30-minute consultation.
- Free 30-minute consultation — no obligation
- Weekend cohorts for Bangalore working professionals
- Live instructor-led sessions with session recordings
- Local office support at HSR Layout, Bengaluru
- Corporate RAG training available for Bangalore teams
Upcoming RAG Training Batches in Bangalore
See scheduled RAG cohorts covering Retrieval-Augmented Generation, vector databases and LangChain workflows.
Upcoming cohort dates are being scheduled.
Contact our advisor for the next available batch.
Ask for Next RAG BatchLocal Learning Options for Bangalore
Flexible RAG training delivery for individuals, teams, and corporate clients.
Live Online Cohort
Weekend instructor-led sessions. Recordings within 24 hours. Open to all Bangalore learners.
HSR Layout Office Support
Visit our Bengaluru office for in-person consultation and course guidance before or during training.
Blended Learning
Live online sessions with optional in-person consultation at HSR Layout for Bangalore-based participants.
Corporate RAG Training Bangalore
Customised on-site or online RAG training for Bangalore engineering and AI teams.
Learn more →1:1 AI Engineering Mentorship
Personalised project guidance, RAG architecture review, and AI engineering mentorship for advanced learners.
Learn more →National RAG Training
Also available as a national programme for learners across India outside Bangalore.
Learn more →Find Technovids in Bangalore
Office
Technovids Consulting Pvt. Ltd.
2nd Floor, Chandrodaya Complex
19/19 24th Main Rd, 1st Sector
HSR Layout, Bengaluru
Karnataka 560102, India
Hours
Monday – Friday, 9 AM – 6 PM IST
Weekend cohorts available for working professionals
Related Courses and Learning Resources
Deepen your RAG and AI engineering knowledge with these Technovids resources.
All Technovids AI courses for Bangalore learners
Full AI engineering curriculum for Bangalore developers
Custom AI training for Bangalore corporate teams
National RAG training programme — India-wide
How retrieval-augmented generation works — full guide
When to use RAG vs fine-tuning your model
How vector databases store and search embeddings
13-layer production RAG system architecture deep dive
What LangChain is and how it powers RAG pipelines
All Technovids AI guides and references
Frequently Asked Questions — RAG Training Bangalore
Common questions from Bangalore developers, data professionals and corporate clients.
Do you offer RAG Training in Bangalore?+
Where is Technovids located in Bangalore?+
Is the RAG training suitable for software developers?+
Does the training cover vector databases?+
Does the training include LangChain for RAG?+
What is the difference between RAG Training Bangalore and AI Engineering Course Bangalore?+
Do you offer corporate RAG training in Bangalore?+
Can I visit the HSR Layout office before enrolling?+
Does the RAG training include production RAG concepts?+
How do I contact Technovids for RAG Training in Bangalore?+
Start Learning RAG from Bangalore
Build production-ready Retrieval-Augmented Generation systems with embeddings, vector databases, LangChain, and evaluation pipelines.
Exploring all AI courses in Bangalore? Browse all AI courses in Bangalore — GenAI, AI Engineering, prompt engineering and more.