Srishta Technology builds PDF and document Q&A systems that let users upload files, ask questions, receive source-backed answers, summarize long documents and extract useful information from business, legal, healthcare, research and operational documents.
Upload
PDFs & docs
Ask
Natural questions
Cite
Source pages
Export
Summaries & notes
Source-backed
Answers linked to the uploaded document
OCR-ready
Support scanned PDFs and images
Multi-document
Ask across selected files or workspaces
Product-ready
APIs, storage, jobs and user history
What it does
PDF and document Q&A is useful when users do not want to manually read long files. They upload a document, ask a question, and receive an answer based on the content of that file.
A production-ready system needs more than a model call. It needs document parsing, OCR, page tracking, chunking, retrieval, citations, file storage, user permissions, processing status and error handling.
Services
Build one document-chat feature or a complete private document workspace with summaries, citations and multi-document Q&A.
Let users upload a PDF and ask questions directly from that file, with answers grounded in the uploaded content.
Enable users to ask questions across multiple PDFs, reports, policies, manuals or research files in one workspace.
Generate summaries, highlights, action points, key risks, clauses, deadlines or extracted insights from long documents.
Support scanned PDFs, image-based files and document photos by extracting text before question answering.
Build Q&A workflows for contracts, policies, proposals, reports, compliance files, SOPs and business documents.
Create a secure workspace where users can upload, organize, chat with and manage private documents.
Demo-level PDF chat
Production document Q&A
Lifecycle
Good answers depend on how well the document is processed before the user asks a question. We design each step carefully so answers remain grounded and traceable.
Users upload PDFs, Word documents, scanned files, reports or document images.
The system parses text, detects pages, runs OCR when needed and prepares document content.
Content is split into meaningful sections with page, heading and metadata references.
Embeddings, keyword data and metadata are created so relevant sections can be retrieved.
Users ask questions in a chat or search interface, with optional filters and selected documents.
The system retrieves context, generates an answer and shows citations or source references.
Capabilities
Show the document, page, section or paragraph that supports the answer.
Keep page references available so users can jump back to the original PDF.
Handle scanned PDFs and image-based documents with OCR and cleanup workflows.
Allow users to ask questions across selected documents or a full folder/workspace.
Generate concise summaries, key points, risks, obligations and action items.
Support documents containing tables, structured fields and tabular information where required.
Store chat history, document sessions, user files and past answers securely.
Export answers, summaries, notes or extracted data to PDF, CSV, doc or internal systems.
Architecture
We design document Q&A as a product feature with upload, processing, retrieval, answer generation, citations and user management.
File upload, validation, document type checks, user ownership and storage rules.
PDF parsing, OCR, page mapping, text cleanup, metadata extraction and job status.
Chunking, embeddings, keyword index, metadata filters and workspace-level document indexing.
Question understanding, context retrieval, source ranking and selected-document filtering.
LLM answer generation, source citations, confidence handling, fallback and answer formatting.
Chat UI, document library, summaries, exports, admin controls, analytics and monitoring.
Security and quality
Uploaded documents can contain sensitive information. We design privacy controls, clear data ownership, source references and safe behavior when the answer is not present.
Keep uploaded files and answers separated by user, account, team or workspace.
Allow document deletion, retention settings and cleanup for temporary or private files.
Avoid unsupported answers when the document does not contain enough information.
Track uploads, processing status, errors, answer usage and document-level activity.
Use async jobs, processing status, retries and file-size controls for large documents.
Add human review or admin oversight for sensitive workflows and critical outputs.
Use cases
Industries
Help teams search contracts, policies, obligations, clauses, compliance documents and long legal files with source-backed answers.
Support healthcare platforms with medical document summaries, patient file explanations, policy Q&A and operational document workflows.
Ask questions from financial reports, insurance documents, audit files, loan documents and compliance material.
Let students, researchers and teams ask questions from study material, papers, books, reports and learning content.
Use document Q&A for manuals, SOPs, procurement files, HR policies, internal reports and operational documents.
Add document upload, PDF chat, summaries and answer extraction as a product feature for users or customers.
Development process
We define the document types, users, questions, privacy needs and expected answer behavior.
We choose parsing, OCR, page mapping, chunking, metadata and indexing approach.
We design upload, chat, citations, summaries, selected-document mode and history behavior.
We build APIs, storage, queues, retrieval, prompt flows, LLM integration and answer formatting.
We test with real PDFs, scanned files, long documents, tables and edge cases.
We deploy with usage logs, error tracking, quality feedback and improvement loops.
Technology stack
Relevant experience
Srishta Technology works across AI, RAG, healthcare platforms, backend systems, cloud workflows and admin dashboards. That helps us build document Q&A as a real product feature, not only as a standalone demo.
Source-backed AI answers, retrieval workflows and document-aware assistants.
Digital healthcare platforms with summaries, records and document handling.
LLM integration, prompt workflows, APIs, backend and cloud deployment.
Upload flows, user accounts, dashboards, storage, monitoring and admin systems.
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Explore →Book a Discussion
Share the types of documents you want your AI to understand, who will use it, and the questions it should answer. We'll help you design a secure, accurate document Q&A solution tailored to your business.
FAQ
Add PDF chat, document summaries, OCR, citations and multi-document Q&A to your product or internal workflow.