#chromadb

職人 Shokunin 62 AI agent skills for OpenCode, Claude Code, Cursor, Windsurf. ChromaDB memory, MCP servers, declarative self-updates. Multi-model, open source, zero cost.

Open-source AI code reviewer that auto-reviews GitHub PRs LangGraph agents, knowledge graph blast-radius detection, mem0 persistent memory Zero cost, self-hostable.

AI document assistant with a production RAG pipeline — hybrid BM25 + semantic search, cross-encoder reranking, and streaming answers. Built with FastAPI, Streamlit, ChromaDB, and DeepSeek LLM. Fully Dockerized and deployed on Railway.

Two-pipeline Agentic RAG system with side-by-side comparison. Custom sequential agent pipeline vs LlamaIndex inspired ReAct reasoning loop, with full chunk, trace, token and timing visibility for fine-tuning.

AI Video Intelligence & Knowledge Synthesis Platform built with LangChain,LangSmith, ChromaDB, Whisper, and LLMs.

Production RAG platform — multi-notebook document Q&A with Keycloak SSO, ChromaDB, Claude, Google Drive ingestion

把任意抖音博主蒸馏成可对话的 AI 知识分身 · download → transcribe → categorize → RAG

AI Research Agent 2026 🔍 - Autonomous Deep Web Explorer & Adversarial Synthesis

Memex.ai-Inspired AI Knowledge Base 2026 - Smart Markdown Wiki with Graph Search & Static Publishing

A small, working Retrieval-Augmented Generation API (FastAPI + Chroma + Claude). Ingest documents, ask questions, get answers grounded only in your data with cited sources.

🧠 A persistent memory RAG chatbot that never forgets. Uses Phi-3-mini LLM, ChromaDB vector database, and Ebbinghaus memory decay curves.

AI-powered multi-agent research platform for literature discovery, synthesis, and citation generation using LangGraph, RAG, and Gemini AI.

An automated customer support email handling system with a multi-agent LangGraph workflow that combines categorization, retrieval-augmented generation, and automated quality review.

RAG Chatbot for a Real Estate Agency

Agente RAG conversacional sobre IA Generativa con Google Gemini, ChromaDB y LangGraph. Memoria por thread, interfaz Streamlit y base de conocimiento propia. Práctica final del Máster en Data Science e IA.

AI-powered research assistant that enables semantic search, question answering, and citation-grounded insights from academic papers using RAG.

Dự án giải quyết bài toán thực tế: Hộ kinh doanh thường gặp khó khăn trong việc phân loại dòng tiền, lưu trữ hóa đơn và tuân thủ các quy định về sổ sách theo Thông tư 88/2021/TT-BTC. Hệ thống sử dụng AI để bóc tách dữ liệu hóa đơn, xử lý logic kế toán bằng Python/Pandas và tích hợp trợ lý ảo RAG hỗ trợ tra cứu luật thuế một cách an toàn.

🔬 Private AI research assistant like Google NotebookLM but 100% local. Upload PDFs, URLs & YouTube. Ask questions grounded in your sources. 12-provider AI fallback. Works offline.

🧠 RepoMind — A RAG-powered chatbot that lets you ask natural-language questions about any GitHub repository, with answers grounded in the actual source code and cited by file & line number.

AI-powered educational agent platform built with LangGraph, Agentic RAG, long-term memory, evaluation pipelines, and observability workflows for adaptive AI Engineering learning.

Federal Acquisition Regulation Retrieval-Augmented Generation (RAG) Chatbot

RAG-based AI chatbot built with FastAPI, LangChain, ChromaDB, and LLMs, supporting document uploads, semantic search, context-aware conversations, and multi-format document question answering.

🏥 AI-powered Clinical Document RAG Engine — Ask questions about medical documents, get precise answers with citations. 86% retrieval accuracy. Free LLM support (Gemini/Groq/Claude).

Conversational AI agent over accounts-receivable data: a LangGraph ReAct agent with guarded text-to-SQL and RAG, full-stack (FastAPI + React), on synthetic data

AI-powered RAG chatbot that helps Indian farmers access government agricultural schemes using LangChain, ChromaDB, HuggingFace, and GPT

A fully local RAG-based Q&A system - hybrid BM25 + dense retrieval, BGE reranker, Ollama LLM, FastAPI backend, and a clean web UI. No API keys needed.

RAG data pipeline: FastAPI microservices, MinIO presigned uploads, Redis queue, LangChain + ChromaDB, Claude chat

Medical RAG chatbot answering diabetic retinopathy questions with cited sources, built with LangChain, ChromaDB, sentence-transformers, and Llama 3.3 70B (Groq). Deployed on HuggingFace Spaces.

RAG Chatbot built with FastAPI, Gemini API, ChromaDB, and PDF-based document retrieval.

Internal RAG chatbot with role-based access control and safety guardrails

Ask a hotel PMS in plain English — a LangGraph Text2SQL agent with hybrid retrieval and full SQL transparency. Live demo + case study (source private).

Full-stack document Q&A platform with citation-grounded RAG, FastAPI, React, PostgreSQL, ChromaDB, Docker, and automated tests.

AI-powered FAQ chatbot with semantic search — understands meaning, not just keywords. Built with Streamlit, sentence-transformers, ChromaDB, and Groq LLM. Features a dynamic, hot-reloadable system prompt, two-sided chat UI, and guideline-driven handling of small talk, off-topic questions, and safety edge cases.

Production-style RAG operations console with grounded retrieval, document ingestion, evaluation, cost analysis, and bias-aware LLM judging.

This a POC on Customer Support Agent built using RAG and LLM. The below course was used as reference to learn and implement the same: -https://www.udemy.com/course/build-a-customer-support-ai-agent-with-langchain/learn/lecture/56401085?start=1#reviews The course uses legacy LangChain version. The code repository uses Modern LangChain version.

Enterprise RAG knowledge chatbot with grounded citations, hybrid retrieval, document indexing, real-time telemetry, and production-ready Docker deployment.

Source-grounded nuclear law RAG assistant with hybrid retrieval, ChromaDB, page-level citations, secure PDF ingestion, and multi-provider LLM support.

Self-healing AI reliability platform: LangGraph multi-agents + MCP tool execution + RAG-grounded Gemini evidence to detect, diagnose, and safely recover from LLM/RAG/agent failures — with human-in-the-loop approval and SLA-verified recovery.

Hello Judges! Here is my submission for the First round of Recruitments (AI Developer)

Production-grade multi-agent AI system with LangGraph supervisor pattern, RAG knowledge base (ChromaDB), and Anthropic Claude — routes queries between specialized triage, scheduling, and eligibility agents