RAG search engine using LlamaIndex, Redis, and PII masking.
-
Updated
Sep 2, 2026 - Python
RAG search engine using LlamaIndex, Redis, and PII masking.
A full-stack, Keep-style note-taking SaaS with AI baked in — Gemini-powered title generation, on-demand summaries, and a RAG chat panel that answers questions across all your notes. MERN + Redux Toolkit + ChromaDB + BullMQ, with Google OAuth, JWT auth, and a fully responsive UI.
A full-stack AI chatbot built with React and Node.js, powered by Google's Gemini API. Supports normal conversational chat with streaming responses, and lets you upload a PDF to ask questions grounded in its content using Retrieval-Augmented Generation (RAG).
Aspire integrations for Chroma and Chroma Cloud, built on ChromaDB.Client.
Microsoft.Extensions.VectorData provider for Chroma and Chroma Cloud, built on ChromaDB.Client.
.NET client for Chroma and Chroma Cloud, tested with Chroma 0.4.10 to 1.5.9.
To associate your repository with the chroma-cloud topic, visit your repo's landing page and select "manage topics."