Content
# Purpose: LLM Integration of custom data and able to have a conversation around the data.
# Data: Picking the Connecticut Avenue Securities data from FannieMae for current month.
# Learning Goals:
- Model Context Protocol
- Optimized storage of CAS data and CAS summary data for quicker response to questions.
- Integration with LLMs that support model context protocol
- PandasAI to learn how to interact with pandas data frame.
- Ollama to run LLM locally
Connection Info
You Might Also Like
markitdown
MarkItDown-MCP is a lightweight server for converting URIs to Markdown.
markitdown
Python tool for converting files and office documents to Markdown.
firecrawl
Firecrawl MCP Server enables web scraping, crawling, and content extraction.
neuraldeep
NeuralDeep — aggregator of skills, MCP servers and CLI tools for AI-agents....
claude-code-config
Claude Code skills, architectural principles, and alternative approaches for...
memento-mcp
Fragment-Based Memory MCP Server — AI Mid-to-Long Term Memory System