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1. structured-kg-rag structured-kg-rag Public

   Building a knowledge graph-powered RAG from structured data.

   Jupyter Notebook

2. langchain-textract-bedrock langchain-textract-bedrock Public

   How to Use Amazon Textract, Amazon Bedrock, and LangChain to Process Documents Natural language processing on steroids.

   Jupyter Notebook 1

3. resume-chatbot-local-llm resume-chatbot-local-llm Public

   Playing with RAG using Ollama, Langchain, and Streamlit. This project aims to demonstrate how a recruiter or HR personnel can benefit from a chatbot that answers questions regarding candidates.

   Python 12 5

4. jd-summarizer jd-summarizer Public

   Playing with LangChain and Streamlit.

   Python 3

5. ai-nlp-named-entity-recognition ai-nlp-named-entity-recognition Public

   With the help of LangChain, this project aims to demonstrate how we can use the power of LLMs like ChatGPT to perform classic NLP tasks like named-entity-recognition.

   Jupyter Notebook 2 4

6. ai-nlp-sentiment-analysis ai-nlp-sentiment-analysis Public

   This project aims to demonstrate how we can use the power of LLMs like ChatGPT to perform classic NLP tasks like sentiment analysis.

   Jupyter Notebook