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FastMCP MCP Server Hub
Currently, our different projects are using various MCP servers. To streamline and unify the process, we plan to implement a HUB MCP server that can handle multiple MCP Servers and...
The notebook / 64 articles
Ideas into practice
Notes on LLMs, machine learning, data engineering, and the systems that make them work.
Showing 31–40 of 64 posts
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LangChain Retry Logic
LLM call is not stable and may fail due to network issues or other reasons, therefore, retry logic is necessary.
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MCP Transports
Compare stdio, SSE, and Streamable HTTP transports for MCP, with Python examples for configuring servers and clients.
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Text to SQL (Smolagents)
A smolagents text-to-SQL example with query execution logs, answers from a receipts database, and tracing with Phoenix.
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MCP Server & Client (SSE)
Beside the vscode extension hosts like (cline, continue), you can write your own client to connect to the MCP server. The client should be able to send and receive messages using...
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RAG-Reranking
Retrieval-Augmented Generation (RAG) is a powerful approach that combines retrieval and generation to produce high-quality responses. However, the quality of the final response can...
LARGE LANGUAGE MODELS
Ollama Import GGUF Models
If you're looking to experiment with various models easily, importing GGUF might be your go-to method. Here's how it works:
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GenAI Projects
A collection of generative AI resources and project notes on schema mapping, feature engineering, PDF extraction, and agent frameworks.
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Crawling the Web with LLM
Web crawling frameworks and a ScrapeGraphAI example that uses local Ollama models to extract structured information from a webpage.