Build super simple end-to-end data & ETL pipelines for your vector databases and Generative AI applications
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Updated
Oct 5, 2024 - Python
Build super simple end-to-end data & ETL pipelines for your vector databases and Generative AI applications
Performing a RAG (Retrieval Augmented Generation) assessment using voice-to-voice query resolution. Provide the file containing the queries, ask the questions, and receive the results via voice.
A RAG implementation on Llama Index using Qdrant vector stores as storage. Take some pdfs, store them in the db, use LLM to inference.
A repository containing a modularized implementation of a Retrieval-Augmented Generation (RAG) model as Flask APIs.
RAG Chatbot for Financial Analysis
A Retrieval-Augmented Generation (RAG) System for PDF Chat using Qdrant Vector Database.
About A simple RAG (Retrieval-Augmented Generation) app built with Streamlit. Upload PDFs, ask questions, and get context-aware answers using Qdrant and Hugging Face Transformers.
RAG (Retrieval-Augmented Generation) and vector search to transform plain questions into SQL queries, enabling effortless, intelligent conversations with your SQL database.
RAG Backend for Aleph Alpha LLMs.
VoicePassport 🎤 is a proof-of-concept project exploring user authentication through voice recognition, blockchain-based security ⛓️, and vector databases 📊. It aims to experiment with innovative approaches to secure and efficient identity verification in an educational or research-oriented context.
"A Retrieval-Augmented Generation (RAG) system for document query and summarization using vector-based search and language models.
PaperChat is an AI-powered chat application designed to handle PDF documents through a user-friendly interface. Users can upload PDF files, ask questions related to the content within those documents, and receive responses generated using advanced natural language processing (NLP) techniques.
Query on Videos from YT by providing the URL Drop a YouTube URL, and I’ll handle the rest: - QA on the video - Timestamps & frames for answers - Precise answers delivered
RAG pipeline framework for Localized LLM users
Optimized RAG Retrieval with Indexing, Quantization, Hybrid Search and Caching
A Streamlit web app for efficient management of Qdrant vector databases. Features include collection creation/deletion, point retrieval/search, and vector data upload, simplifying Qdrant operations through an intuitive interface.
A Neural Search Tool that helps you find relevant papers to read based on your interests
The repo provides the code for Qdrant for efficient image indexing and retrieval using models such as ColPali, ColQwen, and VDR-2B-Multi-V1, enhancing multimodal search capabilities across various applications.
A blog recommendation engine built for text driven static sites
A modular, agent-based Retrieval-Augmented Generation (RAG) system that answers questions about The Great Gatsby using the CrewAI framework, integrated with DeepEval for answer evaluation.
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