SOFTWARE SERVICES / SCRAPEGG
RAG, search & document intelligence
We build systems that retrieve relevant evidence from documents and data, then make it useful through search and AI-assisted answers with source references.
Discuss your projectRAG, search & document intelligence
- Document ingestion
- Hybrid retrieval
- Grounded answers
- Search evaluation
THE APPROACH
Made for the way
your business works.
Good retrieval begins before a user asks a question. We design ingestion, OCR, extraction, chunking and metadata handling around your actual files. The search strategy can combine keyword and vector retrieval, with ranking and filters selected for the corpus and access requirements.
We evaluate the retrieval layer separately from answer generation. That helps identify whether a poor answer comes from missing information, weak retrieval or model behavior. Source links, citation verification and clear handling of insufficient evidence make the output easier for people to assess.
WHAT WE CAN BUILD
From requirement
to working capability.
Document ingestion
OCR, extraction and enrichment pipelines with retries and processing status.
Hybrid retrieval
Keyword and semantic search, fusion, filtering and optional reranking.
Grounded answers
Evidence-aware generation with source references and structured outputs.
Search evaluation
Representative queries, relevance checks and observability across retrieval and generation.
PRACTICAL EXPERIENCE
Built on work
we’ve actually done.
Judicio combines keyword and vector legal search. At Logically, Rajkumar built retrieval systems over large volumes of social content.
Read the Judicio engineering case studyGOOD QUESTIONS
Before we begin.
Can you work with scanned PDFs?
Yes. OCR and extraction can be included, with validation for the formats and document quality in your collection.
Is vector search enough?
Not always. Exact terms, names and identifiers often benefit from keyword retrieval; hybrid search can combine those strengths.
Can answers cite the original files?
Yes. We preserve source metadata and document locations through processing so responses can link back to supporting material.
HAVE SOMETHING IN MIND?
Let’s make
it happen.
A new product. A better workflow.
A problem worth solving.