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We review your target documents, file formats, and security requirements to determine the optimal parsing and indexing approach.
We build data ingestion pipelines that extract clean text from multi-format files and split it into semantic chunks.
We convert text chunks into high-dimensional vector embeddings and index them inside a secure database like Weaviate.
We configure search retrieval algorithms to fetch relevant document snippets and feed them into a secure LLM for generation.
We build clean chat or search interfaces, showing source citations and enabling download of relevant reference materials.
We run automated evaluation tests to ensure accuracy, eliminate hallucinations, and keep search retrieval speed under one second.
We believe in radical transparency. You'll always know where your project stands and what comes next.
Progress reports every week
Communicate with your team
Clear deliverable checkpoints
Complete technical handoff
Let's begin with a conversation about your project goals.