Build Generative AI, custom Question/Answer or Information Retrival Application using LlamaIndex, Google Gemini
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Updated
Apr 29, 2024 - Jupyter Notebook
Build Generative AI, custom Question/Answer or Information Retrival Application using LlamaIndex, Google Gemini
Advance Resume Parser: This project was built during the Mined Hackathon organized by Nirma University.
Vector embeddings generation for a csv file, storing embeddings in the vector database and query the csv file using openai language model
A simple web application to generate vector embeddings for PDF document, store them in a vector database (Pinecone), and enable semantic search and information retrieval using OpenAI's language models.
Use Cohere and OpenSearch to analyze customer feedback in an MLOps pipeline
SSAT Analogy Solver: Test Vector Embedding Against Web Scrapped Questions
Detection as well as identification of faces
Pawsitive Retrieval RAG Project - Erdos Institute Deep Learning Boot Camp - Spring 2024
Python Implementation of lexical vector embedding similarity scoring, zero-shot classification of images and n-gram based scoring to compare textual summaries
Developed using custom data for answering questions from a given domain knowledge
Hands-on with Milvus vector db
Seamlessly interact with PDF, CSV, Website and Handwritten Notes
AI chat with Tim Ferriss or any of his past guests
AI Chatbot with Knowledge Base embeddings (prototype)
This repository demonstrates a workflow that integrates LangChain with a vector store (Pinecone) to enable semantic search and question answering using large language models (LLMs).
Image Retrieval with Azure Computer Vision 4.0
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