👾 nao is an open source analytics agent. (1) Create context with nao-core cli, (2) deploy nao chat interface for everyone
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Updated
Oct 20, 2026 - TypeScript
👾 nao is an open source analytics agent. (1) Create context with nao-core cli, (2) deploy nao chat interface for everyone
Chat with PDF locally: An advanced chatbot using Ollama / Sambanova LLMs to interactively extract information from PDFs, Using Streamlit & Ollama / Sambanova API and langchain
ChatPDF leverages Retrieval Augmented Generation (RAG) to let users chat with their PDF documents using natural language. Simply upload a PDF, and interactively query its content with ease. Perfect for extracting information, summarizing text, and enhancing document accessibility.
Natural language to SQL & NoSQL query translation engine supporting multi-database schema mapping and secure execution.
Open-source RAG backend for document ingestion and AI-powered chat with on-premise LLMs
Too Long, Didn't Read, Let's Chat
Personal Retrieval-Augmented Generation (RAG) app with Gradio UI, Elasticsearch vector DB, and Ollama LLM/embeddings
A ChatBot designed to assist WhatsAgenda customers in configuring their calendar. This tool streamlines the setup of scheduling, managing appointments, and customizing service hours, ensuring an efficient and user-friendly experience.
Transform your resume with AI-powered analysis and optimization. Get instant feedback leveraging multiple state-of-the-art language models.
A document question-answering system that allows users to upload files (PDFs, DOCs, TXTs) and ask questions about their content using RAG (Retrieval-Augmented Generation) with ChromaDB and Gemma.
AI destekli PDF sorgulama aracı. Ollama, LM Studio ve API'lar kullanarak PDF belgelerinizden doğal dille anında bilgi edinin.
Secure text-to-SQL for Next.js + Postgres — natural-language "chat with your data" with a read-only DB role and AST SQL validation. Free, open-core.
chat with your data using LLMs
Learn to utilize large language models (LLMs) with Langchain to interact with various data types, including CSV files, PDFs, and SQL databases.
A comprehensive Retrieval-Augmented Generation (RAG) application for chatting with documents.
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