ContextGem: Effortless LLM extraction from documents
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Updated
May 2, 2025 - Python
ContextGem: Effortless LLM extraction from documents
Document Summarization App using large language model (LLM) and Langchain framework. Used a pre-trained T5 model and its tokenizer from Hugging Face Transformers library. Created a summarization pipeline to generate summary using model.
Trade-Alert is a notification system that keeps users updated on critical news impacting their stock portfolios. It simplifies staying informed by delivering timely notifications for important articles, eliminating the need to monitor multiple platforms in today’s fast-paced market.
A type-safe graph execution framework built on top of OpenLit for LLM pipelines
A minimal, modular LangChain project showcasing key components like ChatPromptTemplate, output parsing, retriever setup, and LCEL chaining — ideal for building structured LLM pipelines and RAG systems.
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