Weaviate vector database – examples

An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.

Sentence Transformers API: An OpenAI compatible embedding API server

Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)

MiniPilot is a GenAI-assisted chatbot backed by Redis. Chat with your documents

The objective of this project is to create a chatbot that can be used to communicate with users to provide answers to their health issues. This is a RAG implementation using open source stack.

Search on your images via text or image to image search. Uses OpenAI CLIP embedding and LanceDB

LangChain Documentation Helper

Root Repository

An interactive AI-powered podcast co-host with voice interaction and document processing capabilities

🚀 Revolutionize your data interaction with a cutting-edge chatbot built on Retrieval-Augmented Generation (RAG) and OpenAI’s GPT-4. Upload documents, create custom knowledge bases, and get precise, contextual answers. Ideal for research, business operations, customer support, and more!

Local Retrieval-Augmented Generation (RAG) system built with FastAPI, integrating vector search, Elasticsearch, and optional web search to power LLM-based intelligent question answering using models like Mistral or GPT-4.

Retrieval-Augmented Generation (RAG) chatbot across four domains: Law, Health, Finance, and Technology. Curated domain-specific datasets from data sources; stored PDFs and embeddings using MongoDB and FAISS. Built a scalable RAG pipeline enabling high-precision similarity search and dynamic query responses.

The LLM Health Assistant is an AI-driven health consultation platform using LLM and RAG for intelligent Q&A, supporting text/voice interaction, PubMed retrieval, and user data management.

This Python application creates a simple document assistant using Streamlit, pinecone (vector store) and a language model (openai) for generating responses to user queries.

Find art with AI using Cloudflare's Vector Database Vectorize, LlaVA and LlaMA on Workers AI, and more!

Themis Database System - High-performance C++ hybrid-database (graph-vector-relational-file) with AQL support and MVCC

The goal is to evaluate CVs based on the O-1A visa qualification criteria

An application that looks at input text to search for similar passages within given sources