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PDF Vector
10 tools · AI Document Extraction · Documents
PDF Vector parses documents into markdown, extracts structured data, answers document questions, and searches academic publications and grants.
Connect PDF Vector
- Open Slashspace and go to Settings, then Connectors.
- On Discover, search for PDF Vector and click Connect.
- Sign in to PDF Vector in your browser. Slashspace updates when the account is connected.
- Then ask for what you need in any Agent mode chat. PDF Vector is on in every chat unless you switch it off.
What your chats can do
10 tools from PDF Vector.
- Ask DocumentAnswer one question from a general, identity, invoice, or bank-statement document. Processing consumes credits; the response reports the actual model and credit cost. The tool never retries with a higher model automatically.
- Extract Document DataExtract schema-constrained structured data from a general, identity, invoice, or bank-statement document. Processing consumes credits and never retries with a higher model automatically.
- Fetch PublicationsResolve up to 100 publication identifiers with provider auto-detection and return both resolved records and per-identifier errors.
- Find CitationsFind relevant academic citations for each sentence in a paragraph and preserve provider-specific partial errors.
- Find Similar PapersFind papers related to a seed publication using citation-network similarity, optionally including relationship edges.
- Get Paper GraphRetrieve a publication plus one independently offset-controlled page of citing papers and one page of referenced papers.
- Parse Academic PaperResolve an academic identifier or provider URL to a public PDF and parse it to markdown. Processing consumes credits, returns the actual model and credit cost, and never retries with a higher model automatically.
