Srishta Technology builds AI-powered document search systems that help teams find answers across PDFs, policies, SOPs, contracts, manuals, websites and internal knowledge bases. We design secure search experiences with citations, permissions, OCR, metadata and RAG-based retrieval.
Search
Across documents
Answer
With citations
Control
By permissions
Improve
With feedback
Source grounded
Answers come from approved documents
Permission aware
Restrict search by role or department
OCR-ready
Support scanned PDFs and image-based files
Search + chat
Use keyword, semantic and conversational search
What it solves
Most companies already have the answers somewhere. The problem is that those answers are spread across folders, PDFs, policy files, manuals, contracts, help articles and old documents. Employees waste time searching, asking colleagues or reading long files.
Enterprise document search adds an intelligent layer on top of your approved knowledge. Users can ask questions, search topics, filter documents and verify answers from the original source.
Important answers are usually spread across PDFs, shared drives, emails, policy files, websites, CRMs and internal portals.
Keyword search often gives a long list of matching files, but users still need to open documents and read manually.
Support, HR, operations and sales teams repeatedly ask senior staff for information already present in documents.
When multiple document versions exist, employees may use outdated policies, templates or process instructions.
Enterprise search must respect permissions, departments and visibility rules instead of exposing everything to everyone.
For business use, AI answers should include source references, not unsupported responses that users cannot verify.
Services
Build a focused assistant for one department or a full enterprise search layer across multiple knowledge sources.
A secure search layer across internal PDFs, manuals, policies, SOPs, training material and operational documents.
Help employees quickly find the right process, policy or instruction without reading long manuals or asking senior teams repeatedly.
Search agreements, clauses, obligations and terms faster with a document assistant built for review support, not legal replacement.
Support healthcare platforms with searchable medical documents, care protocols, patient support knowledge and operational records.
Give product, engineering and support teams a faster way to search technical documentation, API guides, product manuals and release notes.
Unify search across documents, websites, databases, admin content and knowledge-base systems using one controlled search experience.
Normal search
Enterprise document search
Core capabilities
A useful document assistant is not only a chat screen. It needs ingestion, parsing, indexing, permissions, citations, feedback and admin control.
Upload, sync or import PDFs, docs, web content, databases and internal knowledge-base records.
Extract text from scanned documents, clean noisy content and prepare files for reliable retrieval.
Split documents into meaningful sections so answers retrieve useful context instead of random fragments.
Create searchable vector indexes, metadata filters and hybrid retrieval for better search quality.
Show where answers came from so users can verify the original document and page/section reference.
Restrict documents by user role, department, project, region or business unit.
Collect user feedback, missed queries and bad answers to improve retrieval quality over time.
Give admins control over document sources, re-indexing, categories, status and review workflows.
Architecture
We design document search as a controlled knowledge system, not a one-off chatbot.
PDFs, docs, web pages, policies, SOPs, contracts, records and knowledge-base content.
Document upload, sync, parsing, OCR, metadata extraction and version handling.
Chunking, embeddings, vector search, keyword search, metadata filters and re-indexing jobs.
Query understanding, permission checks, hybrid search and context selection.
LLM response generation with citations, fallback handling and source visibility.
Search UI, chat interface, admin dashboard, feedback, analytics and review workflows.
Search experience
Different users search differently. Some know exact keywords, some ask questions, and some need filters by department, document type, date or source.
Find relevant information even when users do not use the exact words written in the document.
Ask questions and receive a concise answer grounded in retrieved source sections.
Let users open the original document, section or source link to verify the answer.
Filter by department, document type, policy category, product, region, owner or date.
Guide users to related policies, supporting documents or next questions.
Users only see documents and answers they have permission to access, ensuring secure and compliant knowledge retrieval.
Security and governance
Users should only retrieve documents and answers they are allowed to see.
Control which files are indexed, active, archived or removed from search.
Track search usage, answer feedback, source access and admin actions.
Use fallback behavior when the system cannot find enough reliable source context.
Industries
Search protocols, patient support content, operational SOPs, lab process documents and healthcare knowledge bases.
Find clauses, policies, obligations, reporting documents, internal controls and compliance references faster.
Search manuals, maintenance guides, safety SOPs, quality checklists and production process documents.
Build searchable knowledge for learning material, administrative documents, course content and institutional policies.
Help support and product teams search release notes, API guides, troubleshooting docs and customer help content.
Make HR, operations, procurement, IT and internal policies searchable across departments and teams.
Development process
We understand document sources, formats, permissions, user roles and the questions teams need to answer.
We define how documents will be uploaded, synced, parsed, OCR-processed and refreshed over time.
We plan chunking, metadata, vector search, keyword search, re-ranking and citation strategy.
We design the search UI, chat flow, filters, source references, feedback and admin workflows.
We add access control, document visibility rules, authentication and audit logging where required.
We test with real business questions, tune retrieval quality and deploy with monitoring and improvement loops.
Technology stackn
Relevant experience
Srishta Technology works across custom software, healthcare platforms, AI systems, backend APIs, cloud infrastructure and RAG-based knowledge assistants. That helps us build document search as part of a real product, not only as a standalone demo.
Document-aware AI assistants that retrieve, answer and cite from business knowledge.
Digital healthcare workflows with records, summaries, documents and admin systems.
API, database, authentication, queue and cloud architecture for production systems.
Role-based access, admin controls, approvals and operational dashboards.
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Explore →Book a discussion
Share your document types, users, departments, access rules and expected search behavior. We will help you plan the right document search architecture.
FAQ
Build a secure document search assistant that helps employees, support teams and business users find the right answer from approved documents.