Autoflow demonstrates Graph RAG with vector storage in TiDB
Published on November 22, 2024, the PingCAP repository describes Autoflow, a conversational Graph RAG knowledge base that uses TiDB Serverless for vector storage.
Source: Autoflow é uma base de conhecimento Graph RAG com TiDB (x.com). Text prepared with AI from this source.
What happened and what to do
The PingCAP repository, published on November 22, 2024, presents Autoflow as a conversational knowledge base built on Graph RAG. It uses TiDB Serverless to store vectors, offering an example architecture for teams evaluating tools to retrieve and query connected knowledge.
A company could apply this approach with a prototype that connects internal documents, models relevant relationships, and compares answer quality and information retrieval. An implementation could include data ingestion and updates, access controls, monitoring, and a dashboard to track usage and results, without assuming Graph RAG fits every case.
How the consultancy can help
Wendelmaques can assess the use case, data, and access requirements, propose an architecture, and deliver a scoped implementation that may include ingestion, retrieval, monitoring, and operation as needed.
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Send a short description of your use case to receive a scoped proposal for assessing or implementing a knowledge base with contextual retrieval.
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