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Document Analysis with LLM

Split documents into passages and generate questions and answers.

  • Extracts text from PDF.
  • Summarizes entire document using an Open source LLM.
  • Splits document into sentences using the nltk library.
  • Generates for each sentence using LLM.
  • Answers question from passage.

Document RAG analysis with open source LLM

Uses RAG to answer questions from document.

  • Loads text documents and split into chunks using langchain text splitters library.
  • Create embeddings from chunks using transformers and all-MiniLM-L6-v2 model.
  • Creates a vector store to store embeddings with fiass library.
  • Answers questions from document by searching for closest embeddings and passing it to an open source question answering LLM.

AI Resume Screener with Ollama & LLama3

  • Analyzes a resume against a job description
  • Returns a summary if resume is fit for the role or not.

A web search tool with Ollama

  • Calls a tool using Ollama and llama3.1 to search the web for result

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Document analysis using RAG and LLM

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