Laraware — India's First AI-Powered Fintech Stack™

Your company's knowledge, instantly answerable.

We build retrieval-augmented assistants that reply from your own content — with citations, not hallucinations.

Generic chatbots guess. A RAG assistant retrieves the right passage from your own documents, contracts, SOPs, or product data and answers with sources your team can verify. We handle ingestion, chunking, embeddings, retrieval quality, and access control end to end.

What we build

  • Ingestion pipelines for docs, PDFs, wikis, tickets & databases
  • Vector + hybrid/keyword retrieval tuned for accuracy
  • Cited answers with source links & confidence scores
  • Role-based access — users see only what they're allowed to
  • Evaluation harness to measure and improve answer quality
  • Deploy to web, Slack, Teams or WhatsApp

Stack

Embeddings · vector DBs (pgvector / Qdrant / Pinecone) · reranking · LLMs

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