A production-style RAG-based AI Knowledge Assistnt developed during the AI & Automation Internship at NEXEAGENT. The system securely uploads company documents, generates semantic embeddings, stores contextual knowledge in a vector database, and delivers accurate AI-powered responses using Google Gemini, (RAG) & intelligent vector Search pipelines.
python ai semantic-search-engine knowledge-based-systems rag vector-database ai-tools knowledge-based-ai embeddings-model google-gemini rag-pipeline vector-databases-chroma google-gemini-api-key semantic-search-in-nlp
-
Updated
May 26, 2026 - Python