Introducing everything-ai, your multi-task, AI-powered and local assistant! 🤖

Framework for benchmarking fully-managed vector databases

Explore how to perform Role Based Access Control in Qdrant Vector Datase

All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.

Examples of Multiple Techniques for Generative Ai. Currently includes: File Processing, RAG, Cognitive Architecture, and Dataset Generation.

Virtual personal assistant designed to simplify your daily tasks

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

This is a RAG implementation using Open Source stack. BioMistral 7B has been used to build this app along with PubMedBert as an embedding model, Qdrant as a self hosted Vector DB, and Langchain & Llama CPP as an orchestration frameworks.

On-spot training to enhance the performance of traditional machine learning algorithms, applied to the prediction of breast cancer malignity from ultrasound images

Building Private Healthcare AI Assistant for Clinics Using Qdrant Hybrid Cloud, DSPy and Groq - Llama3

Give AI long term memory using FastAPI and Qdrant. Checkout dev branch for version with built in embedding model that can run on low end hardware.

Python client for Qdrant vector search engine

Your intelligent ally for effortless information retrieval and seamless browsing across documents and the web.

Use the universal VDF format for vector datasets to easily export and import data from all vector databases

The no-code platform for building custom LLM Agents

Agentic RAG with Langchain, Qdrant and CrewAI

A Retrieval Augmentation Generation Based QnA AI Bot developed Based on Company Dataset and Documentation utilizing Gemini Pro LLM

A project to show good CLI practices with a fully fledged RAG system.

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