Build a RAG-Powered AI Chatbot
Create a retrieval-augmented generation chatbot with embeddings, vector search, and LLM integration.
Completion10%
What You'll Learn
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Design RAG architecture
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Chunk and embed documents
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Implement vector similarity search
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Integrate LLM for grounded responses
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Evaluate answer quality
Project Modules
Implementation Roadmap
Document Ingestion
Load, chunk, and preprocess knowledge base documents.
ActiveEmbeddings & Vector Store
Generate embeddings and store in ChromaDB or Pinecone.
PlannedLLM Integration & UI
Wire retrieval to an LLM and build a chat interface.
Planned