RAG chatbots

Reliable answers from your own data

Chatbots that make things up are a risk to your business. We build systems that use Retrieval-Augmented Generation (RAG) to ensure every answer is backed by your private documents, with clear citations for every claim.

• Smart retrieval: We combine keyword and semantic search to find the most relevant information, then use re-ranking to prioritize the best results.
• Document parsing: Our systems can read and understand complex layouts in PDFs, spreadsheets, and transcripts to extract data accurately.
• Fact-checked responses: Every answer includes mandatory citations and confidence scores. If the system doesn't know the answer, it says so instead of guessing.
• Private memory: We build secure conversational memory that respects your data retention and privacy policies.

Technical standards

Every answer can be traced back to its source document. We measure every part of the process to ensure speed and accuracy.

• Grounding: We aim for 100% citation accuracy, suppressing any claims that aren't backed by retrieved data.
• Recall: We test the system against specific datasets to ensure it finds the right information every time.
• Speed: We optimize both retrieval and generation to provide sub-second response times on standard hardware.