Our Technology Pipeline
From raw data to intelligent insight. Here is how Pilaw turns your documents into answers.
1Unstructured Embedding
We ingest your raw data—PDFs, audio, images. Our engine breaks down complex unstructured files into manageable chunks ready for processing.
2Vectorization
Data is converted into high-dimensional vectors. This semantic representation allows the AI to understand the 'meaning' behind your content, not just keywords.
3Re-ranking
We don't just find matches; we rank them. Advanced algorithms re-evaluate the retrieved results to ensure the most contextually relevant information hits the top.
4Caching (Redis/Upstash)
Speed matters. Frequent queries are cached at the edge using Redis, delivering instant responses and reducing computation costs.
5LLM Generation
Finally, the curated context is fed into a powerful Large Language Model (GPT-4, Claude) to generate a precise, human-like answer tailored to your query.