#python #agent #agents #ai_search #chatbot #chatgpt #data_pipelines #deep_learning #document_parser #document_understanding #genai #graph #graphrag #llm #nlp #pdf_to_text #preprocessing #rag #retrieval_augmented_generation #table_structure_recognition #text2sql
RAGFlow is an open-source tool that helps businesses answer questions accurately using large language models and deep document understanding. It extracts information from various complex data formats, such as Word documents, Excel files, and web pages, and provides grounded citations to support its answers. You can try a demo online or set it up on your own server using Docker. The setup is relatively straightforward, requiring a few steps like cloning the repository, building the Docker image, and configuring the system settings. RAGFlow offers key features like template-based chunking, reduced hallucinations, and compatibility with multiple data sources, making it a powerful tool for truthful question-answering capabilities. This benefits users by providing reliable and explainable answers, streamlining their workflow, and supporting integration with their business systems.
https://github.com/infiniflow/ragflow
RAGFlow is an open-source tool that helps businesses answer questions accurately using large language models and deep document understanding. It extracts information from various complex data formats, such as Word documents, Excel files, and web pages, and provides grounded citations to support its answers. You can try a demo online or set it up on your own server using Docker. The setup is relatively straightforward, requiring a few steps like cloning the repository, building the Docker image, and configuring the system settings. RAGFlow offers key features like template-based chunking, reduced hallucinations, and compatibility with multiple data sources, making it a powerful tool for truthful question-answering capabilities. This benefits users by providing reliable and explainable answers, streamlining their workflow, and supporting integration with their business systems.
https://github.com/infiniflow/ragflow
GitHub
GitHub - infiniflow/ragflow: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge…
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs - infiniflow/ragflow
#java #ai #bi #chatgpt #clickhouse #clickhouse_client #database #datagrip #db2 #dbeaver #gpt #hive #mysql #navicat #oracle #postgresql #redis #redis_client #sqlserver #text2sql
Chat2DB is a tool that helps you work with databases using AI. It will be available offline on October 25, so you can use it even without an internet connection. With Chat2DB, you can create SQL queries, generate reports, and explore data easily, even if you're not a database expert. It supports many different databases like MySQL, PostgreSQL, and more. The tool is user-friendly and makes database tasks simpler, saving you time and effort. You can download and install it from the official website to start using its powerful features.
https://github.com/CodePhiliaX/Chat2DB
Chat2DB is a tool that helps you work with databases using AI. It will be available offline on October 25, so you can use it even without an internet connection. With Chat2DB, you can create SQL queries, generate reports, and explore data easily, even if you're not a database expert. It supports many different databases like MySQL, PostgreSQL, and more. The tool is user-friendly and makes database tasks simpler, saving you time and effort. You can download and install it from the official website to start using its powerful features.
https://github.com/CodePhiliaX/Chat2DB
GitHub
GitHub - CodePhiliaX/Chat2DB: 🔥🔥🔥AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL…
🔥🔥🔥AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more. - CodePhiliaX/Chat2DB
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#typescript #agent #bigquery #charts #duckdb #genbi #gpt #llm #openai #postgresql #rag #reporting #spreadsheets #sql #sqlai #text_to_sql #text2sql
Wren AI is a free, open-source tool that helps you get insights from your data easily. You can ask questions in any language, and it will generate the necessary SQL queries to get the answers. It integrates well with tools like Excel and Google Sheets, making it easy to analyze and visualize your data. Wren AI also suggests follow-up questions to help you dig deeper into your data without needing to write code. This makes it simpler for anyone, regardless of their technical skills, to understand and use their data effectively.
https://github.com/Canner/WrenAI
Wren AI is a free, open-source tool that helps you get insights from your data easily. You can ask questions in any language, and it will generate the necessary SQL queries to get the answers. It integrates well with tools like Excel and Google Sheets, making it easy to analyze and visualize your data. Wren AI also suggests follow-up questions to help you dig deeper into your data without needing to write code. This makes it simpler for anyone, regardless of their technical skills, to understand and use their data effectively.
https://github.com/Canner/WrenAI
GitHub
GitHub - Canner/WrenAI: ⚡️ GenBI (Generative BI) queries any database in natural language, generates accurate SQL (Text-to-SQL)…
⚡️ GenBI (Generative BI) queries any database in natural language, generates accurate SQL (Text-to-SQL), charts (Text-to-Chart), and AI-powered business intelligence in seconds. - Canner/WrenAI
#python #chatbi #deepseek #llm #nl2sql #rag #sqlbot #text_to_sql #text2sql
SQLBot is an easy-to-use intelligent system that turns natural language questions into SQL queries using advanced AI models and retrieval-augmented generation (RAG). You just need to set up your AI model and data source to start asking questions about your data. It integrates smoothly with other business systems and AI platforms, making it simple to add smart data querying to your apps. It also ensures data security with workspace-based resource isolation and fine-grained access control. You can quickly deploy it on a Linux server using Docker, enabling fast, secure, and intelligent data interaction without needing deep SQL knowledge. This saves you time and improves data accessibility.
https://github.com/dataease/SQLBot
SQLBot is an easy-to-use intelligent system that turns natural language questions into SQL queries using advanced AI models and retrieval-augmented generation (RAG). You just need to set up your AI model and data source to start asking questions about your data. It integrates smoothly with other business systems and AI platforms, making it simple to add smart data querying to your apps. It also ensures data security with workspace-based resource isolation and fine-grained access control. You can quickly deploy it on a Linux server using Docker, enabling fast, secure, and intelligent data interaction without needing deep SQL knowledge. This saves you time and improves data accessibility.
https://github.com/dataease/SQLBot
GitHub
GitHub - dataease/SQLBot: 🔥 基于大模型和 RAG 的智能问数系统,对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.
🔥 基于大模型和 RAG 的智能问数系统,对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG. - dataease/SQLBot