Turn static files—PDFs, DOCX, CSVs, scanned documents, websites, and databases—into interactive, context‑aware Q&A experiences. Our Retrieval‑Augmented Generation (RAG) pipeline combines high‑accuracy embeddings, hybrid search, and generative LLMs to deliver secure, up‑to‑date answers for customers and teams.
We leverage FAISS, Pinecone, Azure Cognitive Search, and Neo4j to build fast, accurate RAG/FAQ bots. Pipelines support chunking, OCR for scans, semantic enrichment, and hybrid retrieval. Deployed solutions include bots answering questions from FAQ web pages, extracting and querying PDF/SQL data, and maintaining living knowledge graphs that learn continuously from user interactions.
Key Features
- ✔ Automated ingestion of PDFs, Office docs, websites (crawling), CSV/XLS data, SQL databases, and cloud files
- ✔ RAG / GraphRAG with best‑in‑class embeddings (OpenAI, Azure, HuggingFace) and vector stores (FAISS, Pinecone, Azure Cognitive Search)
- ✔ Multi‑document search, cross‑document summarization, and conversational, multi‑turn Q&A
- ✔ Hybrid retrieval: semantic vector search + keyword/BM25 for maximal relevance
- ✔ Dynamic knowledge‑base updates with real‑time additions and auto‑embedding
- ✔ Document access control, secure workflows, and audit logging
- ✔ Citations and exports linked back to original pages for full traceability
- ✔ Plug‑and‑play integration with Neo4j knowledge graphs and custom UIs (LangChain, Streamlit, Chainlit, React, Angular)
Benefits
- 🎯 Accelerate access to critical information in manuals, legal, HR, technical, or training documents
- 🎯 Reduce human support workload by answering repetitive questions automatically
- 🎯 Scale onboarding and self‑service for staff, customers, or partners with instant, accurate answers
- 🎯 Maintain fresh, reliable organizational knowledge with continuous updates
- 🎯 Ensure compliance and traceability with secure data handling and citation logs
Real-World Use Cases
- Legal/contract analysis and employee handbook assistants
- Product FAQ, order status, and troubleshooting bots for customers
- Internal knowledge assistants for IT, HR, onboarding, SOPs, and compliance
- Domain‑specific bots for real estate, education, finance, tourism, healthcare, etc.
- AI smart search over internal policies, risk assessments, and external site content
