A Python project that deploys a Local RAG chatbot using Ollama API. Refines answers with Deep Research from external websites, and uses both Embedding and LLM models.

A Python project that deploys a Local RAG chatbot using Ollama API. Refines answers with internal RAG knowledge base, and uses both Embedding and LLM models.

A Python project that deploys a Local RAG chatbot using Ollama API and vLLM API. Refines answers with internal RAG knowledge base, using both Embedding and Rerank models to improve accuracy of context provided to LLM models.

Turn your voice into intelligent, linked notes inside Obsidian

A Fast API server that provides local text and multi-modal embedding using LlamaIndex Hugging Face Embedding

A Python project that deploys a Local RAG chatbot using Ollama API and vLLM API. Refines answers with internal RAG knowledge base, using both Embedding and Rerank models to improve accuracy of context provided to LLM models.

A lightweight Retrieval-Augmented Generation (RAG) agent powered by Groq AI and local embeddings, built to process and understand text data efficiently. It retrieves relevant context from your own files and generates accurate, natural-language responses -all while keeping your data private and running locally.

Offline Express.js QA API using Ollama. Parse PDFs, embed locally, search and chat with your private docs — no cloud needed.