← Back to ToolGen📚 RAG System Builder
Build a complete RAG pipeline. Generate chunking, embedding, vector DB, and retrieval code.
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1. Document Loading
Load documents from source
✂️
2. Text Chunking
Split into searchable chunks
🔢
3. Embedding Generation
Convert text to vectors
🗄️
4. Vector Storage
Store in vector database
🔍
5. Retrieval
Find relevant chunks
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6. Generation
LLM generates answer
PythonLangChainLlamaIndex