A standardized framework for enhancing how LLMs process and respond to prompts through composable decorators, featuring an official open standard specification and Python reference implementation with MCP server integration.
Crafted prompts for lightweight, high-impact AI agents. Real templates, patterns & tools — no fluff, no frameworks. Companion to "Simple Agents, Big Wins".
Successfully developed an interview preparation guide using Langchain which can effectively guide users in their interview preparation process and job search journeys by providing valuable insights and feedback regarding their performance. It generates a comprehensive list of questions pertaining to a user query as well.
A project to utilise the capabilities of LLM and langchain to create test cases, bug analysers, post to Jira, testrail and slack
This project demonstrates using LangChain's `PromptTemplate` for single-turn queries with static or dynamic prompts, and `ChatPromptTemplate` for multi-turn conversations using role-based messages (system, human, AI) with placeholders to build flexible, dynamic conversational flows.
MAestro: Collaborative Meta-Analysis Research Tool - LLM-powered data extraction with discipline-specific quality assurance
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