Connect any LLM to any data source with centralized context management (instructions, dbt, code, docs, BI metadata) and full observability and governance.

Let users run analysis, build beautiful dashboards, or schedule reports — all executed through an agentic analytics-oriented loop.

Bag of words is an open-source AI data layer — connect any LLM to any data source with centralized context management, trust, observability, and control.

• Chat with any data source

  Ask questions in web, Slack, or else. Create charts, tables, and full beautiful reports/dashboards by chatting with your data—powered by an agentic loop for tool use, reflection, and reasoning.

• Context-aware & customizable

  Define terms, tables, KPIs, rules and instructions. Ingest from dbt, Tableau, code, AGENTS.md, and have AI continiously maintain and monitor.

• Any LLM, any data

  Connect multiple data sources: Snowflake, BigQuery, Redshift, Postgres, dbt, Tableau, and more — then pair with the LLM of your choice (OpenAI, Anthropic, or local models). Swap models/data sources without breaking workflows.

• Transparency, trust & deployment

  Track every AI decision, trace, and feedback. Analyze quality and usage in the console. Deploy fully in your VPC with Docker/Compose, VMs, or Kubernetes. Enterprise-ready with RBAC, SSO (OIDC), audit logs, SMTP.

# runs with SQLite (default)
docker run -p 3000:3000 bagofwords/bagofwords

docker run -p 3000:3000 \
  -e BOW_DATABASE_URL=postgresql://user:password@localhost:5432/dbname \
  bagofwords/bagofwords

For more advanced deployments, see the docs.

Create reports, deep analysis or quick visuals with an AI interface powered by an agentic-loop with tools, reasoning and reflection built in.

Manage your AI rules and instructions with review process and control

Enrich your AI context with dbt models, Tableau data sources, AGENTS.md and your git repo

Leverage the catalog to store, share, and explore reusable queries and datasets. This feature also improves discoverability and searchability for AI, contributing to smarter AI decisions.

Full observability into queries, feedback, and context — powering self-learning and high quality AI results

Bag of words acts as a context-aware analytics layer that connects to any database or service, works with any LLM, and enriches queries with docs, BI models, or code.

The architecture is fully flexible: plug in any data source, any model, and any interface — giving your team maximum freedom of choice, without sacrificing governance or reliability.

Bag of words supports a wide range of LLM providers out of the box. You can bring your own API key for any of the following:

Tip: You can configure multiple providers and models, set defaults, and more.

Below is a list of all data sources supported by Bag of words, as defined in the data source registry. Each entry is marked as either a Database/Warehouse or a Service.

Note: Some data sources (like NetSuite) may be marked as inactive or beta in the registry. "Service" refers to APIs or SaaS platforms, while "Database/Warehouse" refers to systems that store and query structured data.