Build job-ready skills with our Classroom and Online Retrieval-Augmented Generation (RAG) Training at WebAsha Technologies. It is hands-on, practical and focused on employability.
Training Overview:
is a hands-on, job-oriented program on retrieval-augmented generation - the key technique for building accurate, up-to-date AI applications grounded in your own data. It covers embeddings and vector databases, document loading and chunking, retrieval strategies, building RAG pipelines with LangChain and LlamaIndex, advanced RAG (re-ranking, hybrid search), evaluation, and deploying RAG chatbots over enterprise data.
Intended Audience:
This course is ideal for developers and AI practitioners who want to build accurate, data-grounded AI applications and chatbots using retrieval-augmented generation.
Topics Covered:
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Embeddings: Representing meaning.
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Vector Databases: FAISS, Chroma, Pinecone.
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Chunking: Splitting documents well.
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Retrieval: Finding the right context.
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RAG Pipelines: LangChain and LlamaIndex.
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Advanced RAG: Re-ranking and hybrid search.
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Evaluation: Measuring RAG quality.
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Deployment: RAG chatbots in production.
Requirements:
Basic computer familiarity is recommended. Online participants need a stable internet connection and a laptop/desktop for the live labs.
Pre-Requisites:
Basic Python knowledge is helpful. Familiarity with LLMs or our Generative AI course is a good companion, though the course covers RAG from the fundamentals.
Career Benefits:
RAG is in strong demand. In India, RAG-skilled AI developers typically earn ₹6 LPA to ₹40+ LPA.