%%{init: {'theme': 'base'}}%% flowchart TD A[User] -->|1.Submits LLM Query| B[Language Model] B -->|2.Sends Query| C[mcp-local-rag Tool] subgraph mcp-local-rag Processing C -->|Search DuckDuckGo| D[Fetch 10 search results] D -->|Fetch Embeddings| E[Embeddings from Google's MediaPipe Text Embedder] E -->|Compute Similarity| F[Rank Entries Against Query] F -->|Select top k results| G[Context Extraction from URL] end G -->|Returns Markdown from HTML content| B B -->|3.Generated response with context| H[Final LLM Output] H -->|5.Present result to user| A classDef default stroke:#333,stroke-width:2px; classDef process stroke:#333,stroke-width:2px; classDef input stroke:#333,stroke-width:2px; classDef output stroke:#333,stroke-width:2px; class A input; class B,C process; class G output;

{ "mcpServers": { "mcp-local-rag":{ "command": "uvx", "args": [ "--python=3.10", "--from", "git+https://github.com/nkapila6/mcp-local-rag", "mcp-local-rag" ] } } }

{ "mcpServers": { "mcp-local-rag": { "command": "docker", "args": [ "run", "--rm", "-i", "--init", "-e", "DOCKER_CONTAINER=true", "ghcr.io/nkapila6/mcp-local-rag:latest" ] } } }