No description available

Building a RAG with custom pdfs as retrieval data and using LM Studio to load model

Local code RAG with Ollama and LmStudio. Electron app for natural language code exploration with local LLM integration.

Autonomous AI research system with infinite self-learning iteration loops. Uses local LLMs (LMStudio) + Agno agents + RAG + parallel web search. Self-evaluates and refines until convergence.

RAG with LM Studio est un projet de chatbot local basé sur vos propres documents. Il combine une base vectorielle (Chroma) pour la recherche sémantique et LM Studio pour la génération de réponses, avec une interface Streamlit simple type ChatGPT. Tout fonctionne en local (Windows/macOS, GPU CUDA ou MPS).

No description available

Multi-document RAG with Langchain + LanceDB + LMStudio

RAG chat application, only works in terminals, created with open-sourced models. LLM service used: 1. Ollama (feature/ollama) - Works in cloud, 2. LMStudio (feature/lmstudio) - Works locally

A lightweight RAG system with incremental indexing and streaming CLI chat interface, designed to work with LMStudio for local AI inference.

A local, privacy-first Multi-Agent RAG system built with LangGraph and LMStudio. Orchestrates specialized agents for retrieving, extracting, and analyzing financial research reports using open-source LLMs (Gemma-2-9b) and ChromaDB.