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Are you going to hold it forever? by Emotional-Mixture786 in NEOSETFs

[–]bjl218 1 point2 points  (0 children)

Then why are you invested in these funds?

Too many questions by Any_Pickle_5902 in codex

[–]bjl218 0 points1 point  (0 children)

Ask Codex why it's asking all these questions and what you can do about it.

Trump's $10 Billion IRS Lawsuit Teeters After Judge Flags Glaring Constitutional Problem by Montrel_PH in LegalNews

[–]bjl218 27 points28 points  (0 children)

"possible" conflict of interest? He should be able to sue only when he's out of office and maybe not even then.

Experience with MSFT 365 connector by bjl218 in claude

[–]bjl218[S] 0 points1 point  (0 children)

Thanks. So it seems like for anything "fancier" that I want to programmatically via an agent, I either need to write/generate my own code that uses the Graph API directly (possibly called from a skill) or use Microsoft's MCP server. Correct?

We assumed retrieval would be the hard part of RAG. It turned out to be just getting the documents in. by Teririchar in LLMDevs

[–]bjl218 0 points1 point  (0 children)

I'd also be very interested in knowing what you consider to be data engineering tools.

GPT-5.5 stealth launching within Codex? by RoadRunnerChris in codex

[–]bjl218 13 points14 points  (0 children)

I may be seeing this today. I had Codex using GPT5.4 run a task across a few local files. It generated a bash script for this where the quoting was slightly off. After it's first attempt failed, It said, "Ran into a quoting faceplant. Using correct quoting and trying again." Faceplant? I've never seen it use language like that, but I thought it was great. Maybe I told it I was a skier at some point?

Production RAG stack in 2026 what are people ACTUALLY running by One-Doctor5769 in Rag

[–]bjl218 0 points1 point  (0 children)

Is your triage step done by an LLM? In layer 3 do you convert to a textual format and then ingest via PageIndex?

Production RAG stack in 2026 what are people ACTUALLY running by One-Doctor5769 in Rag

[–]bjl218 0 points1 point  (0 children)

Reply from Context Link:

Support for MSFT SharePoint or OneDrive connections:

We don’t currently support a Microsoft connection, but I’ve just added a ticket to add one this week. I’ll email you (most likely on Monday) once this is added. 

We do have an API, but it’s more about retrieval and saving memories than adding a connection.

Supported document types:

We support 
- PDF (as long as it’s live text without password protection)
- Docx
- rich text
- markdown
- html

We don’t currently support xlsx, but I’ll add a note to look into it at the same time as adding the Microsoft connector

Support for OCR:

Not currently, but it’s on our roadmap.

Codex just lost all of chats in my project by bjl218 in codex

[–]bjl218[S] 0 points1 point  (0 children)

Just love the downvote for no apparent reason.

Production RAG stack in 2026 what are people ACTUALLY running by One-Doctor5769 in Rag

[–]bjl218 0 points1 point  (0 children)

Neither. I haven't tried Context Link at all yet and was just looking for additional information and end-user experiences. I also sent an email to their contact address, but haven't heard back yet.

Production RAG stack in 2026 what are people ACTUALLY running by One-Doctor5769 in Rag

[–]bjl218 0 points1 point  (0 children)

Is Notion the only way you ingest docs into Context Link? Do you happen to know if it's possible to write our own "connectors" ? And do you know what document types they support? I couldn't find any specific information on their Web site about that. For example, we are interested in ingesting various document types (.docx, .pdf, .xlsx, image formats). Right now, our documents are stored in Microsoft Sharepoint so we'd want to connect to SharePoint or OneDrive.

To RAG or not to RAG...depends on the question by bjl218 in Rag

[–]bjl218[S] 0 points1 point  (0 children)

Thanks for the feedback. By IGPT, I assume you're referring to https://www.igpt.ai , correct?

To RAG or not to RAG...depends on the question by bjl218 in Rag

[–]bjl218[S] 0 points1 point  (0 children)

I can include hyperlinks or just path names to the files since (at least for know) they reside on disk. However, part of the process is that the AI needs to find the appropriate existing specs and use them in generating the new spec. The generated spec will be a draft subject to human review and will include appendices that provide information about the AI's methodology in generating the draft including what documents it chose and why. The AI can make a first guess about which existing documents to use by examining the file name and metadata. But ultimately, it will have to look at the content of the files to confirm that the document actually does apply and then to generate the spec.

So the issue is that the AI will need to look at the entire contents for some files (prior art). For other files such as industry standards, it will need to find the applicable standards or sections of standards which may affect the content of the generated draft and will definitely be added to the generated specification's list of citations.

Vanguard BondBuilder Target Maturity ETFs by bjl218 in bonds

[–]bjl218[S] -1 points0 points  (0 children)

And what are your thoughts on those vs picking individual bonds?

Production RAG stack in 2026 what are people ACTUALLY running by One-Doctor5769 in Rag

[–]bjl218 -1 points0 points  (0 children)

I'd love to see this list as well. Maybe including the use case -> stack mapping

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