langchain

Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)

Deep research tool for local knowledge base.

A Test Project for a Network Security-oriented LLM Tool Emulating AutoGPT

Chat with documents (pdf, docx, txt) using ChatGPT and Langchain

A set of lessons aimed at anyone learning LLM and generative AI concepts, with sections on operations and security, as well as development.

LangChain abstractions backed by Postgres Backend

Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic transparent Context Engine that provides 100% transparency.

Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple agent/workflow framework

Examples of chatbot implementations with Langchain and Streamlit

Multi AI agents for customer support email automation built with Langchain & Langgraph

Accelerate your Gen AI with NVIDIA NIM and NVIDIA AI Workbench

A collection of Kotlin-based examples featuring AI frameworks such as Spring AI, LangChain4j, and more — complete with Kotlin notebooks for hands-on learning.

GPT Interviewer - Practice interview with AI interviewer based on job descriptions and resume

Build your own LLM-native WIKI (knowledge library). Search, extract, summarize, Q&A with contextual RAG, layered knowledge graph, and reinforced memory. Importantly use selected context to automatically generate skills, empowered by Claude subagents + CodeAct pipeline and gated by human review. **Try Live Demo**: https://byo-wiki-demo.vercel.app

llama.cpp (GGUF LLMs) and llava.cpp (GGUF VLMs) for ROS 2

Continuous Integration for LLM powered applications

🔐Free GPT-3.5 chat with your docs (PDF, WORD, CSV, TXT)

Akcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate responses and uses vector databases to fetch relevant documents to enhance the quality and relevance of the output.

General video interaction platform based on LLMs, including Video ChatGPT

FastAPI Backend for a Conversational Agent using Cohere, (Azure) OpenAI, Langchain & Langgraph and Qdrant as VectorDB