chromadb

Notate is a desktop chat application that takes AI conversations to the next level. It combines the simplicity of chat with advanced features like document analysis, vector search, and multi-model AI support - all while keeping your data private.

A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.

The Go client for Chroma vector database

本地化 AI 小说精修工作台🚀。内置 RAG 长时记忆🧠、三模态协作（作家/主编/助手）🖋️、卡片流式编辑器⚡。支持酒馆卡导入、全书自动化精修与扩写🎭。AI小说加料 小说精修 AI文本修改 小说扩写 小说总结

Self-hostable multimodal chat with local LLMs (Ollama/OpenAI): PDF RAG, image chat, and Whisper voice, Streamlit + Docker.

GPT Enhanced with Real-Time Web Browsing 🔗

eShopLite is a set of reference .NET applications implementing an eCommerce site with features like Semantic Search, MCP, Reasoning models and more.

Harnessing the Memory Power of the Camelids

RAG using Llama3, Langchain and ChromaDB

Memory that learns what works.

Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI, Claude, Ollama, OpenRouter). OpenAI-compatible API. 2100+ tests.

Ask questions about your Obsidian notes using local AI. Privacy-first RAG with Ollama, LM Studio, or any OpenAI-compatible server. Obsidian plugin + Docker + PyPI.

Learn GenAI and Agentic AI from Zero to Production

AI Engineering Specially Topics- Agentic AI & GenAI Explanation

Build your own offline AI from any documents. Free. No coding. LoRA fine-tuning + RAG + GGUF export.

Build a 100% local Retrieval Augmented Generation (RAG) system with Python, LangChain, Ollama and ChromaDB!

Secure, locally-run Retrieval-Augmented Generation system for document-based question-answering, utilizing Llama 3, Mistral, and Gemini models with a user-friendly Streamlit interface.

🦾 A production‑ready research outreach AI agent that plans, discovers, reasons, uses tools, auto‑builds cited briefings, and drafts tailored emails with tool‑chaining, memory, tests, and turnkey Docker, AWS, Ansible & Terraform deploys. Bonus: An Agentic RAG System & a Coding Pipeline with multistep planning, self-critique, and autonomous agents.

Lightweight local swappable semantic search & ask CLI agent for Gmail

Python Streamlit web app utilizing OpenAI (GPT4) and LangChain LLM tools with access to Wikipedia, DuckDuckgo Search, and a ChromaDB with previous research embeddings. Ultimately delivering a research report for a user-specified input, including an introduction, quantitative facts, as well as relevant publications, books, and youtube links.