u/Semm235

Most demos/examples I see are around clean internal knowledge bases.

Curious if anyone here has had success using local/self-hosted AI for more chaotic real-world document environments:

• PDFs
• contracts
• reports
• mixed folders/network drives
• scanned documents

Does retrieval quality actually hold up in practice?

We’ve been talking to companies in legal/accounting environments and one thing keeps coming up:

People are interested in AI for internal knowledge retrieval, but immediately get stuck on privacy concerns once sensitive documents are involved.

A lot of teams seem hesitant to use tools like ChatGPT with contracts, client files, financial docs, etc.

I’m curious what people here are actually seeing in practice:

• Are companies already deploying local/self-hosted AI for internal document search?
• What are they using?
• Is adoption real, or are most still experimenting?
• And does semantic search/RAG actually work well enough in day-to-day workflows?

Would love to hear real experiences from people working with this stuff.

We’ve been talking to companies in legal/accounting environments and one thing keeps coming up:

People are interested in AI for internal knowledge retrieval, but immediately get stuck on privacy concerns once sensitive documents are involved.

A lot of teams seem hesitant to use tools like ChatGPT with contracts, client files, financial docs, etc.

I’m curious what people here are actually seeing in practice:

• Are companies already deploying local/self-hosted AI for internal document search?
• What are they using?
• Is adoption real, or are most still experimenting?
• And does semantic search/RAG actually work well enough in day-to-day workflows?

Would love to hear real experiences from people working with this stuff.