rapersonal

rapersonal's Stars

• AtaUllahB/experimenting-with-RAGs

  Experimenting with different kinds of RAGs Systems

  Language:Jupyter Notebook1

• dylancl/nextjs-sag-llm

  A small Next.js app which utilises search results to feed context to the LLM.

  Language:TypeScript8

• Higgy-debug/Rag_using_llamacpp

  Language:Python1

• hk3427/RAG-KnowledgeLLM-LlamaIndex-BOT

  LLM Chatbot with Retrieval Augmented Generation using Llamaindex. It works both in online and offline mode.

  Language:Python112

• ErikBjare/gptme

  Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web, vision.

  Language:Python3k207

• lalanikarim/ai-chatbot-rag

  Streamlit + Langchain + LlamaCPP + Mistral + Rag

  Language:Python3512

• semperai/amica

  Amica is an open source interface for interactive communication with 3D characters with voice synthesis and speech recognition.

  Language:TypeScript820133

• NON906/sd-webui-chatgpt

  This is a repository for conversations using OpenAI API (compatible with ChatGPT) or llama.cpp in Stable Diffusion web UI.

  Language:Python427

• khoj-ai/khoj

  Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.

  Language:Python17.4k850

• kallebysantos/talk-with-llama

  A simple AI chat using FastAPI, Langchain and llama.cpp

  Language:Python92

• JoshChima/graphrag-for-text-to-sql

  A modular graph-based Retrieval-Augmented Generation (RAG) system. Include additional functionality used for Text To SQL applications.

  Language:Python1

• stephenc222/langchain-playground

  Exploring LangChain for various tasks

  Language:Python2

• stephenc222/example-semantic-kernel

  Example project demonstrating the Semantic Kernel

  Language:Python2

• stephenc222/example-retail-feedback-analysis-tool

  Example project to explain a practical way to use a multimodal LLM for a business purpose.

  Language:Python2

• stephenc222/example-graphrag-with-sqlite

  An example project demonstrating how to use SQLite for a simple GraphRAG system

  Language:Python113

• stephenc222/example-graphrag

  Example project demonstrating how to implement GraphRAG

  Language:Python12230

• urooj-akmal/Onboarding-Chatbot

  A Flask-based onboarding chatbot utilizing Retrieval-Augmented Generation (RAG) with Llama 3.1:8b, powered by LangChain. Designed to assist new employees with onboarding tasks through intelligent, context-aware responses.

  Language:Python5

• semanto-mondal/RAG-Based-Multi-Source-Chatbot-Using-LLM

  RAG-Based Multi-Source Chatbot Using LLM

  Language:Python25

• SingularityLabs-ai/MultiGPT-mini

  Multiple Chatbots at one place. ChatGPT, BARD, Claude, Bing, Poe, Insys, Xunfei, Purplexity, Cohere and more

  Language:TypeScript509

• libAudioFlux/audioFlux

  A library for audio and music analysis, feature extraction.

  Language:C3k122

• pinterest/querybook

  Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface.

  Language:TypeScript2k241

• lobehub/lobe-chat

  🤯 Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Qwen / DeepSeek), Knowledge Base (file upload / knowledge management / RAG ), Multi-Modals (Vision/TTS/Plugins/Artifacts). One-click FREE deployment of your private ChatGPT/ Claude application.

  Language:TypeScript50.3k10.8k

• langgenius/dify

  Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

  Language:TypeScript56.4k8.3k

• QuivrHQ/quivr

  Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.

  Language:Python37k3.6k

• ludwig-ai/ludwig

  Low-code framework for building custom LLMs, neural networks, and other AI models

  Language:Python11.3k1.2k

• abetlen/llama-cpp-python

  Python bindings for llama.cpp

  Language:Python8.3k1k

• llmware-ai/llmware

  Unified framework for building enterprise RAG pipelines with small, specialized models

  Language:Python8.3k1.5k

• stanford-oval/storm

  An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

  Language:Python13.8k1.3k

• deepset-ai/haystack

  AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

  Language:Python18.3k2k

• infiniflow/ragflow

  RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

  Language:Python26.5k2.5k