DB-conv is an open-source Python framework that turns natural language into SQL queries against relational databases. It integrates LLMs to introspect schemas, generate secure parameterized queries, execute them, and present formatted results. Supporting SQLite, MySQL, and PostgreSQL, DB-conv accelerates the development of conversational data interfaces like chatbots and dashboards.
AI Platforms & Frameworks
Coding Assistance
Data Analysis
#conversational AI
#SQL database integration
#Natural Language Processing
#Chatbot Development
#Voice assistant tools
#data exploration
#database querying
#Prompt Engineering
#Data Visualization
#Query Optimization
#Flexible database support
#user-friendly interfaces
#Data Insights
#Parameter security
#query logging
#Lightweight Python library
#Custom SQL templates
#SQL error reduction
#caching mechanisms
#Database democratization
...
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DB-conv
DB-conv is an open-source Python framework that turns natural language into SQL queries against relational databases. It integrates LLMs to introspect schemas, generate secure parameterized queries, execute them, and present formatted results. Supporting SQLite, MySQL, and PostgreSQL, DB-conv accelerates the development of conversational data interfaces like chatbots and dashboards.
AI Platforms & Frameworks
Coding Assistance
Data Analysis
#conversational AI
#SQL database integration
#Natural Language Processing
#Chatbot Development
#Voice assistant tools
#data exploration
#database querying
#Prompt Engineering
#Data Visualization
#Query Optimization
#Flexible database support
#user-friendly interfaces
#Data Insights
#Parameter security
#query logging
#Lightweight Python library
#Custom SQL templates
#SQL error reduction
#caching mechanisms
#Database democratization
...
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What is DB-conv?
DB-conv is a lightweight Python library designed to enable conversational AI over SQL databases. After installation, developers configure it with database connection details and LLM provider credentials. DB-conv handles schema introspection, constructs optimized SQL from user prompts, executes queries, and returns results in tables or charts. It supports multiple database engines, caching, query logging, and custom prompt templates. By abstracting prompt engineering and SQL generation, DB-conv simplifies building chatbots, voice assistants, or web interfaces for self-service data exploration.
Who will use DB-conv?
- Data analysts seeking self-service analytics
- Database administrators automating query tasks
- AI/ML developers integrating LLMs with data stores
- Product teams building data-driven chatbots
- BI engineers accelerating prototyping
How to use the DB-conv?
- Step1: pip install db-conv
- Step2: Import DBConv and set up your DB connection string
- Step3: Configure your LLM provider API key
- Step4: Initialize ConversationalDBAgent with schema introspection
- Step5: Call agent.query("Your question in natural language")
- Step6: Receive and display formatted query results
Platform
- web
- mac
- windows
- linux
DB-conv's Core Features & Benefits
The Core Features
- Natural language to SQL translation
- Schema introspection and prompt engineering
- Secure parameterized query execution
- Multi-database support (SQLite/MySQL/PostgreSQL)
- Result formatting in tables or charts
- Caching and query logging
The Benefits
- Accelerates data exploration without SQL expertise
- Reduces manual query writing errors
- Democratizes access to database insights
- Ensures secure and optimized queries
- Easily extensible and customizable
DB-conv's Main Use Cases & Applications
- Internal BI dashboards with natural-language filters
- Customer-facing bots querying product databases
- Voice assistants accessing sales or inventory data
- Embedded data-query widgets in web applications
- Rapid prototyping of analytics tools
FAQs of DB-conv
DB-conv Company Information
DB-conv Reviews
5/5
DB-conv's Main Competitors and alternatives?
- LangChain SQLDatabaseChain
- Microsoft Copilot for SQL
- DataGPT
- Chat2DB
- AutoSQLAgent
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