mcpRAG

what is mcpRAG?

mcpRAG is a project that utilizes Ollama for embeddings, Gemini as a language model, and an MCP server for agentic use in retrieval-augmented generation (RAG).

how to use mcpRAG?

To use mcpRAG, set up the MCP server and integrate it with Ollama and Gemini to perform RAG tasks.

key features of mcpRAG?

• Integration of Ollama for efficient embeddings
• Utilization of Gemini as a powerful language model
• Designed for agentic use in RAG applications

use cases of mcpRAG?

1. Enhancing information retrieval systems
2. Building intelligent chatbots that leverage RAG
3. Creating applications that require dynamic content generation

FAQ from mcpRAG?

• What is RAG?

RAG stands for retrieval-augmented generation, a method that combines retrieval of information with generative models to produce more accurate and contextually relevant outputs.

• Can mcpRAG be used for any type of data?

Yes! mcpRAG can be adapted to work with various types of data depending on the embeddings and language model used.

• Is mcpRAG open-source?

Yes! mcpRAG is available on GitHub for public use and contributions.