Ask questions about a PDF document and receive cited answers through your chat interface.
The AI agent ingests a PDF, extracts text and page metadata, and builds a searchable index of passages. It answers questions by querying that index and returning responses with precise citations to the source pages. It supports your preferred chat interface, allowing you to ask questions and share sourced answers across your workflow.
The AI agent analyzes PDFs and returns sourced answers.
Ingests PDFs
Extracts text and page metadata
Indexes passages for fast retrieval
Generates answers with citations
Logs interactions and questions
Notifies users in your chat channel when results are ready
Before: Locating precise citations in PDFs is time-consuming and error-prone. After you implement this AI agent, you get precise, cited answers and auditable sources.
A simple 3-step flow for non-tech users.
Upload or point to a PDF; the AI agent parses the document and extracts text and page references.
The AI agent creates a semantic index of passages and associates pages for citation.
The AI agent queries the index, generates concise answers, and returns citations pointing to exact pages.
A realistic scenario showing a typical task and outcome.
Scenario: A 35-page product manual is uploaded. A user asks, “What are the installation prerequisites?” The AI agent responds with a concise list of prerequisites and cites the exact pages (e.g., pages 4–6) to support each item, all shown in the chat interface.
Roles that gain concrete value from PDF Q&A with citations.
Need quick, cited insights from PDFs to inform product decisions.
Require data and methods with page-level citations from papers.
Must verify clauses and obligations with exact references.
Pull quotes and references for teaching materials.
Answer customer questions using knowledge-base PDFs.
Audit policies and procedures against source documents.
Seamless connections to the tools you already use.
Provides the chat channel to pose questions to the AI agent.
Generates answers with citations based on the PDF index.
Stores embeddings and enables fast retrieval of relevant passages.
Extracts text and page metadata from uploaded PDFs.
Stores PDFs and results for reuse and auditing.
Common scenarios where the AI agent adds value.
Practical questions about using the AI agent.
Yes. The AI agent can process several PDFs within a session by indexing each document and linking citations to their respective pages. It maintains context across questions by referencing the source passages and pages. For large sets of documents, you can batch uploads and query them separately or in combination, depending on your workflow. This keeps results relevant and auditable for each document.
The AI agent supports configurable LLMs, including OpenAI models or compatible self-hosted options. You can choose a model that balances latency, cost, and accuracy for your use case. The agent preserves citation integrity regardless of the model. If you switch models, existing citations remain linked to the original pages.
Citations are generated by linking answers to exact PDF pages and lines. They appear as inline references in the chat and can be extracted into reports. You can customize the citation format and the level of detail shown in responses. Citations are stored alongside the answer history for auditability.
Yes. The AI agent supports configurable citation styles to fit your documentation standards. You can select a style per project and adjust how page numbers and sections are presented. Changes apply to new answers and can be retroactively applied to exported results where supported. The system logs the chosen style for governance and compliance.
Processing can occur in the cloud or on-premises, depending on your deployment. For cloud setups, data is secured with industry-standard encryption in transit and at rest. On-premises deployments keep data entirely within your network. In all cases, citations remain linked to their source documents for traceability.
We support typical business PDFs; extremely large documents may require chunking to optimize indexing and query speed. If a file exceeds practical size limits, you can split it into smaller documents and index them separately. The AI agent maintains cross-document citation integrity when results span multiple files. For best performance, index only the needed sections or chapters.
Data security is prioritized with encryption, access controls, and audit trails. Citations are stored with their corresponding passages, ensuring traceability and accountability. Access to PDFs and results can be restricted by user roles, and activity logs support compliance reviews. You can also configure data retention policies to meet regulatory requirements.
Ask questions about a PDF document and receive cited answers through your chat interface.
