Knowledge Base + RAG
Answer questions from your documents with a grounded, searchable AI base.
$399.83MRP $552.41
2–3 weeksLoading page…
Set up a vector database (Pinecone, Weaviate, Chroma, or Qdrant) for semantic search, recommendations, or RAG pipelines in your application.
In this package
Vector DB selection - fully built, tested, and documented for direct use in production.
Schema design - fully built, tested, and documented for direct use in production.
Embedding pipeline - fully built, tested, and documented for direct use in production.
Index configuration - fully built, tested, and documented for direct use in production.
Query optimization - fully built, tested, and documented for direct use in production.
API integration - fully built, tested, and documented for direct use in production.
Performance tuning - fully built, tested, and documented for direct use in production.
The plan
Full scope
AI-powered products needing semantic search, similarity matching, or recommendation engines.
Compare other AI & Automation packagesKeep an active project moving over the weekend to meet a Monday deadline.
Design and build one more page that matches your existing site or app.
Add custom scroll, hover, page transition or loading animations to your project.
Add a new user role with its own permissions and matching interface controls.
Answer questions from your documents with a grounded, searchable AI base.
Extract text, tables and structured data from scans, images and PDFs.
Find answers across internal documents, wikis, messages and databases.
Generate and edit blog, social, product or email content with AI workflows.
Vector DB selection, Schema design, Embedding pipeline, Index configuration, Query optimization, API integration, Performance tuning
Estimated 1–2 weeks after kickoff