Just dropped a new integration for developers working with real-world documents and vector search:

Tensorlake + Qdrant = structure-aware retrieval at scale.

Over the last few weeks we have been working a ton on some huge improvements to our API and SDK.

They are finally live

What s New

We just launched a native integration between LangChain and Tensorlake!

Now you can pass unstructured documents to a LangGraph agent and trust that parsing, chunking, and field-level accuracy are handled by Tensorlake s document engine no hacky pipelines required.

Signatures might feel like a formality until they delay a claim, break compliance, or derail a deal.

That s why we built Signature Detection into Tensorlake, giving you the power to track and act on signature presence inside your documents:

Basic Detection