We review your company's data sources, formats, and API connections to plan the ingestion workflow.
We configure secure extractors to read, clean, and split files (PDF, DOCX, CSV) into semantic chunks.
We convert document chunks into high-quality vector embeddings and index them inside Pinecone or Weaviate.
We implement hybrid search algorithms, combining BM25 keyword matching with dense vector retrieval for high relevance.
We configure LangChain prompt templates to pass retrieved contexts to a secure LLM, showing clear citations.
We run RAGAS evaluation tests to verify response truthfulness and set up cron jobs to sync updated files.
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.