NamePo engineers scope, deliver, and document rag-based knowledge base with clear milestones, staging validation, and handover notes.
À partir de
USD 342
A RAG-based knowledge base ingests your documents, chunks and embeds them for semantic search, and answers questions with citations pointing to the exact source passages. Hybrid retrieval combines keyword and vector search so acronyms and SKU codes still match. Access controls mirror your folder permissions so confidential HR or finance docs never surface to unauthorized users. Re-indexing runs on a schedule or webhook when source files change.
1. Corpus audit & access model
We classify documents by sensitivity, identify duplicates and outdated versions, and define which collections each user group retrieves from.
2. Ingestion & chunking pipeline
Connectors pull text from PDFs, slides, and wikis. Tables and headings inform chunk boundaries to keep answers coherent.
3. Retrieval evaluation
Held-out questions measure recall and citation accuracy. Hybrid weights tuned until acronym and paraphrase queries both succeed.
4. Interface deployment
Slack bot, web widget, or internal portal goes live with logging. Users see cited snippets before expanded answers.
5. Re-index & governance handover
Scheduled re-index verified after source updates. Admins trained on purge workflows when documents retire.
| Facteur de décision | Cette approche | Alternative courante | Notes |
|---|---|---|---|
| Grounding & citations | Mandatory retrieval step with snippet citations before answer synthesis | ChatGPT Enterprise upload with manual file refresh | Manual uploads drift; automated ingestion keeps answers tied to live sources. |
| Hybrid retrieval | Keyword + vector fusion tuned on your acronym and SKU queries | Embedding-only search index | Pure vectors miss exact-match identifiers common in ops docs. |
| Permission enforcement | Query-time filters synced from source ACLs or SSO groups | Single shared index for all staff | Shared indexes leak salary bands and unreleased product specs. |
| Re-indexing operations | Change detection jobs with failure alerts and partial re-ingest | Full manual re-upload quarterly | Quarterly manual cycles leave weeks of stale answers in fast-moving teams. |
Questions courantes sur notre service ai intelligence.
NamePo engineers scope, deliver, and document ai-powered customer support bot with clear milestones, staging validation, and handover notes.
À partir de 75,000
NamePo engineers scope, deliver, and document openai/gemini api integration with clear milestones, staging validation, and handover notes.
À partir de 60,000
NamePo engineers scope, deliver, and document ai-powered search for your app with clear milestones, staging validation, and handover notes.
À partir de 70,000