Akshay ๐ (@akshay_pachaar)
2025-11-10 | โค๏ธ 827 | ๐ 124
Turn complex docs into clean, LLM-ready data!
Every AI company Iโve talked to is solving the same problem: how do you build systems that donโt hallucinate and back up every answer with proper citations?
Tensorlake is a tool that extracts custom-defined structured data from any unstructured document in 3 steps:
โณ Define your schema โณ Enable citations โณ Extract
You get RAG-ready data with precise citations and bounding boxes. Feed this to your LLM, and youโll generate responses that are citation-backed and fully auditable.
This is the difference between a demo and a production system.
When your AI can show exactly where it got its information, you move from proof-of-concept to something people can actually trust and deploy.
Iโve shared the Tensorlake GitHub repo in the replies!
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