infiniflow/ragflow
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
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The fastest business intelligence tool for humans and agents.
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Latest capture 2026-08-02 13:57
1 capture since 2026-08-02
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Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-08-02 13:57
go.mod
go ecosystem,
435 dependencies
package.json
javascript ecosystem,
15 dependencies
go.sum
go ecosystem,
974 dependencies
package-lock.json
javascript ecosystem,
0 dependencies
docs/package.json
javascript ecosystem,
19 dependencies
web-admin/package.json
javascript ecosystem,
18 dependencies
web-common/package.json
javascript ecosystem,
95 dependencies
web-integration/package.json
javascript ecosystem,
0 dependencies
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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
Privacy and Security focused Segment-alternative, in Golang and React
🔥One modern BI and data platform. AI data exploration, dashboards, and pixel-perfect report generation — replacing Qlik, Tableau and Crystal Reports.
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
The statistical analyst in your AI chat — bring data and a question, own a citable, re-runnable analysis. Four depth tiers, from instant Snapshot to full Deck study. Works in Claude, Cursor, and any MCP client.
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.