chat-with-your-data 开源项目推荐（15 个）

lightdash /lightdash

智能体 BI。以代码的速度进行分析 ⚡️

getnao /nao

nao 是开源分析代理。(1) 使用 nao-core cli 创建上下文，(2) 为所有人部署 nao 聊天界面

BrunoTanabe /chatpdf-ai-powered-document-interaction

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.

Tirth-chokshi /QuerySage-AI

Natural language to SQL & NoSQL query translation engine supporting multi-database schema mapping and secure execution.

ExMachinaSAGL /cosmo42-open

Open-source RAG backend for document ingestion and AI-powered chat with on-premise LLMs

anirbanbasu /tldrlc

Too Long, Didn't Read, Let's Chat

BrunoTanabe /whatsagenda-chatbot-for-calendar-configuration-demo

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.

KingAkeem /personal-rag

Personal Retrieval-Augmented Generation (RAG) app with Gradio UI, Elasticsearch vector DB, and Ollama LLM/embeddings

manthan89-py /Smart-Resume-Analyzer-Optimizer

Transform your resume with AI-powered analysis and optimization. Get instant feedback leveraging multiple state-of-the-art language models.

Mikel26 /nextjs-text-to-sql

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.

hari7261 /Document-Q-A-LLM

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.

SIYAKS-ARES /smart-doc-insight

AI destekli PDF sorgulama aracı. Ollama, LM Studio ve API'lar kullanarak PDF belgelerinizden doğal dille anında bilgi edinin.

xingbow /chat_with_data_llm

chat with your data using LLMs

abdullahashfaqvirk /Chat-With-Your-Data

Learn to utilize large language models (LLMs) with Langchain to interact with various data types, including CSV files, PDFs, and SQL databases.

z-scd /DocSpark

A comprehensive Retrieval-Augmented Generation (RAG) application for chatting with documents.