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langchain

Centralized Evaluation Framework

Fix agent reliability issues in GitLab CI/CD across Claude Agent SDK, OpenAI Agents SDK, Google ADK, MCP, LangChain, LangGraph, CrewAI, AutoGen AG2, Pydantic AI, and Vercel AI. Gates pipelines on risk and severity.

https://github.com/trustabl/trustabl

A grounded RAG assistant for course syllabi — upload a PDF, ask questions about grading, exams, and attendance with zero hallucination, plus GPA impact simulation and AI-generated study schedules. Built with FastAPI, LangChain, FAISS, and Groq as the AI Agent Engineering capstone for ConnectX Summer Training.

LangChain project for advanced web-navigation workflows, running against cloud LLMs or local models through Ollama. Prompt templates for the navigation workflow and the hh.ru vacancy-apply flow live in prompts/; configuration via python-dotenv on a uv-managed Python 3.12 environment.

Minimal LangChain v1 agent scaffold running against local Ollama models such as GLM-4.6, Llama 2 and Mistral. Demonstrates the agent-tool architecture with an extendable weather tool, .env-driven configuration, uv-managed Python 3.12 packaging, and Chrome DevTools MCP wiring for browser automation.

This project is a Retrieval-Augmented Generation (RAG) application built using LangChain. It leverages advanced language models and vector databases to answer questions about epidemiological modeling, software development, and maintaining the EPP model for HIV modeling.

Local-LLM pharmacovigilance platform — FAERS signal detection, MedDRA coding, ICSR drafting · k3s · RTX 5060 Ti

A Python-based system designed to automate customer service interactions. This system receives customer messages along with order details and intelligently decides which tool or action to invoke.

AI-Powered Threat Intelligence Analysis Platform with LLM and MITRE ATT&CK integration

https://ayinedjimi-consultants.fr

Microservices e-commerce backend featuring independent Node.js services, MongoDB, PostgreSQL databases, and containerized deployment with Docker and K8s

Flexible GraphRAG: Python, LlamaIndex (LangChain also coming) Docker Compose: 8 Property Graph dbs, 3 RDF graph dbs, 10 Vector dbs, OpenSearch, Elasticsearch, Alfresco. 13 data sources (9 auto-sync), KG auto-building, RDF ontologies, schemas, LLMs, document processing, Docling, LlamaParse, GraphRAG, RAG only, Hybrid search, AI chat. React, Vue, Angular TypeScript frontends, FastAPI backend, REST API, MCP Server

Content Orchestrator is an AI-powered system that streamlines the creation, optimization, and management of content for various purposes, such as blog posts, articles, and advertisements. By leveraging advanced natural language processing techniques and machine learning algorithms, it enhances the efficiency and effectiveness of content creation and distribution. The system employs a network of specialized AI agents that collaborate to analyze, label, and optimize content for specific target audiences and objectives, with a strong emphasis on creating advertiser-friendly content.

Time saving tool for quickly scanning LONG job advertisement - if they are worth your time to be fully read.

Local first, AI-powered data analytic workspace.

Full RAG pipeline (LangChain + Qdrant + Streamlit)

langchain + ollama + mcp

QuantForge AI is where intelligence is forged — not trained. A continuous engine that learns, adapts, and creates insight from the chaos of financial data.