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RAG & Knowledge Bases

Answer Questions with Llama RAG and Qdrant

When a form is submitted or an MCP client calls it, this ingests documents into Qdrant with Ollama embeddings and answers questions with a local Llama model.

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What it does

## RAG Ingestion Pipeline Only run once to upload your documents

The steps

  1. MCP Server Trigger
  2. Qdrant Vector Store
  3. Embeddings Ollama
  4. MCP Client
  5. MCP Client1
  6. On form submission
  7. Qdrant Vector Store1
  8. Embeddings Ollama1
  9. Default Data Loader
  10. Recursive Character Text Splitter

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