RAG Pipeline Prototype for Internal Knowledge Bases

I can design and prototype Retrieval-Augmented Generation pipelines that allow companies to search and interact with internal documents, knowledge bases, policies, technical documentation, or operational content using LLMs. This includes document ingestion, chunking, embeddings, vector indexing, semantic search, context retrieval, and generating grounded AI responses based on internal data.