Bag of words is an open-source platform designed to connect large language models (LLMs) to a wide range of data sources for analytics purposes. 5 to databases and services including PostgreSQL, Snowflake, BigQuery, Salesforce, AWS, and more. It supports integration with data tools like LookML, dbt, GitHub, GitLab, and Bitbucket, and provides a user interface as well as Slack integration, with future support planned for Teams and email.
The platform focuses on agentic analytics, allowing users to ask questions, refine queries, and receive results quickly from any connected data source. It emphasizes structured planning, observations, and logic to produce detailed, explainable analytics and reports. Users can design and share interactive reports, customize and control AI context, and manage business logic, data relationships, and domain knowledge through a living system of record. md, with AI-driven suggestions for improvements based on feedback.
Bag of words includes a comprehensive suite of monitoring and observability tools to track activity, performance, and quality of analytics agents. Features include high-level performance metrics such as context coverage and AI accuracy, detailed traces of agent decisions, frequent tables queried, and mechanisms to collect and track user feedback. The platform supports enterprise-grade features like SSO, RBAC, and self-hosted deployment options, and is designed to integrate with existing data infrastructure and workflows.
The open-source nature of Bag of words is highlighted throughout its materials, and it is positioned as a solution for organizations seeking to run AI analytics in production environments with centralized context management, observability, evaluation, and control. The platform is developed by Bag of words, Inc.
In the AI & ML space, Bag of words takes a focused approach. It focuses on connecting large language models to business data for analytics and reporting. It is built as an open-source project for data analysts and AI engineers. Bag of words is open source under the Open Source license. The product ships for the web, and it can be self-hosted.
Bag of words first shipped in 2025. Development happens publicly on GitHub with 444 stars and 1.4k commits in the last 90 days. Key capabilities include LLM integration, data connectors, and analytics reports. It exposes integrations via an MCP server and a public API.
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