Vector DB Integration
Add vector storage and indexing for semantic search, recommendations or RAG.
$273.56MRP $384.05
1–2 weeksLoading page…
Build an AI-powered knowledge base with Retrieval Augmented Generation: your documents become searchable by AI, providing accurate answers grounded in your data.
In this package
Document ingestion pipeline - fully built, tested, and documented for direct use in production.
Vector database setup - fully built, tested, and documented for direct use in production.
RAG implementation - fully built, tested, and documented for direct use in production.
Search API - fully built, tested, and documented for direct use in production.
Answer generation with citations - fully built, tested, and documented for direct use in production.
Admin upload interface - fully built, tested, and documented for direct use in production.
Analytics - fully built, tested, and documented for direct use in production.
The plan
Full scope
Companies with extensive documentation wanting instant, accurate AI-powered search.
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.
Add vector storage and indexing for semantic search, recommendations or RAG.
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.
Document ingestion pipeline, Vector database setup, RAG implementation, Search API, Answer generation with citations, Admin upload interface, Analytics
Estimated 2–3 weeks after kickoff