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.

Is a high-performance Augmented Recovery-Generation (RAG) solution based on Redis, Qdrant or PostgreSQL. It offers a high-level interface using FastAPI REST APIs

A semantic search engine that transforms your documents into an intelligent, searchable knowledge base using vector embeddings and AI

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.

Local RAG app with zero-config Docker setup. FastAPI + Streamlit + Qdrant + Ollama. Just run `docker-compose up --build`! 🚀

RAG Chatbot for Financial Analysis

Vector MCP Server for AI Agents - Supports ChromaDB, Couchbase, MongoDB, Qdrant, and PGVector

The repo provides the code for Qdrant for efficient image indexing and retrieval using models such as ColPali, ColQwen, and VDR-2B-Multi-V1, jina embeddings v4 etc enhancing multimodal search capabilities across various applications.

A Retrieval-Augmented Generation (RAG) System for PDF Chat using Qdrant Vector Database.

"A Retrieval-Augmented Generation (RAG) system for document query and summarization using vector-based search and language models.

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.

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.

RAG Backend for Aleph Alpha LLMs.

A system for ingesting, chunking, and querying PDFs using Retrieval-Augmented Generation (RAG) techniques. It integrates FastAPI, Inngest, Google's Gemini API, and Qdrant for AI-powered document search and question answering.

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

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.

Recon and Threat Modeling with Qdrant