Your Documents
Become Intelligent.
RAG pipelines, knowledge bases, multi-channel conversational agents.
We design and deploy document intelligence and conversational AI systems that go beyond standard products. Custom RAG pipelines, domain-specific knowledge bases, multi-channel agent deployments — tailored to your exact requirements. Every answer cited. Every document searchable. Every conversation grounded in your data.
Five Stages. Cited Answers.
Every query flows through a retrieval-augmented generation pipeline — your LLM never answers from memory alone.
Documents parsed, cleaned, and chunked. PDF, DOCX, XLSX, scanned images via OCR.
Chunks converted to vector embeddings and stored in Qdrant or pgvector for semantic search.
User question is embedded and matched against the vector store for relevant document chunks.
Top-k relevant chunks retrieved with metadata, page numbers, and source document references.
LLM generates an answer grounded in retrieved context. Every claim linked to its source citation.
Six Core Capabilities
Each capability can stand alone or combine into a full document intelligence and conversational AI stack.
Custom RAG Pipelines
End-to-end retrieval-augmented generation designed for your document types, chunking strategies, and accuracy requirements. Not a generic template — engineered for your corpus.
Knowledge Base Construction
Transform unstructured documents into a searchable, structured knowledge base. Automated ingestion, deduplication, metadata extraction, and continuous updates.
Conversational Agent Design
Multi-turn conversational agents that understand context, maintain session state, and respond with cited answers. Designed for your domain vocabulary and workflows.
Multi-Channel Deployment
Deploy agents across WhatsApp, MS Teams, Telegram, web chat, and voice channels. Single knowledge base, consistent answers, every channel.
Multilingual Intelligence
22+ Indian languages plus 100+ global languages. Query in Hindi, retrieve from English documents, respond in Hindi — with accurate citations.
Citation & Compliance
Every answer traced to source document, page, and paragraph. Confidence scoring flags uncertain responses. Audit trails for regulated industries.
30+ Format Parsers
Ingest PDF, DOCX, XLSX, PPTX, images, and nested ZIPs with layout-aware chunking — tables, headings, and structure survive into retrieval instead of being flattened into noise.
Hybrid Retrieval + Reranking
BM25F sparse and dense vector search fused with reciprocal rank fusion (RRF), then re-scored by a multimodal reranker — the precision of keyword search with the recall of semantic search.
Five-Layer Memory
From working memory through a knowledge graph to an immutable audit trail — answers stay grounded, context compounds over time, and every retrieval is traceable.
Real-World RAG Solutions
Custom Build or Ready to Deploy
Need custom RAG pipelines for unusual documents? That's a service. Need standard document AI? Pick a product.
- ◆Custom RAG pipeline for non-standard document types
- ◆Domain-specific chunking and embedding strategies
- ◆Multi-source knowledge base with deduplication
- ◆Custom conversational agent workflows
- ◆Compliance-first architecture with audit trails
- ◆Dedicated document AI architect from BiltIQ
- ◆Pre-configured RAG pipeline — deploy in days
- ◆Standard document parsers for common formats
- ◆Multi-channel agent with WhatsApp, Teams, Telegram
- ◆Built-in citation and compliance engine
- ◆BiltIQ-managed updates and model improvements
Open Source. Self-Hosted.
Every component is open-source and runs on your infrastructure. No API keys, no external calls, no data leakage.
Document AI for Your Sector
Every industry has different documents, compliance requirements, and query patterns. We build RAG systems that match.
Healthcare
- ◆Clinical protocol search across thousands of guidelines
- ◆Patient-facing agents answering in regional languages
- ◆ABDM-aligned data handling with full audit trails
- ◆Drug interaction knowledge bases with cited sources
Education
- ◆Curriculum-aware Q&A agents for students and faculty
- ◆Research paper knowledge bases with semantic search
- ◆Multilingual student support agents
- ◆Exam preparation assistants grounded in syllabus documents
Banking & Finance
- ◆RBI circular knowledge base with instant retrieval
- ◆Loan document processing and compliance checking
- ◆Customer-facing agents for product and policy queries
- ◆Audit-ready citation trails for every response
Manufacturing
- ◆SOP and maintenance manual knowledge bases
- ◆Quality control document search with cited answers
- ◆Multilingual shop-floor agents via WhatsApp
- ◆Safety compliance document retrieval systems
Government
- ◆Policy document search across departments
- ◆Citizen-facing agents in 22+ Indian languages
- ◆RTI and compliance document retrieval
- ◆Air-gapped deployment for classified documents
Legal
- ◆Case law knowledge bases with citation linking
- ◆Contract analysis and clause extraction agents
- ◆Regulatory compliance document search
- ◆Multi-jurisdictional legal research assistants
Common Questions About Document & Conversational AI
Further reading: your documents are worse than you think · why RAG beats fine-tuning.
Build Your Knowledge Agent
Bring your documents. We'll show you a working RAG pipeline on local hardware in 60 seconds. No internet required.
Your Data. Your Premises. Your AI.
Read the paper: why layout-aware parsing matters.