Vector Index Builder
Turn docs and SOPs into a RAG-ready knowledge base. Chunk content, build a Chroma index, test retrieval, and export a portable bundle.
Who this is for
Internal AI teams building RAG assistants for company knowledge. Product teams who need an LLM to answer questions using internal docs, playbooks, and support macros. Agencies building AI-powered search for clients who have knowledge scattered across Notion, Google Docs, and Slack.
What this tool does
- Paste content from docs, policies, FAQs, SOPs, or support notes
- Intelligent chunking that preserves context and keeps sections coherent
- Metadata attachment (title, source, category, tags) for better retrieval
- Embedding generation and local Chroma vector index creation
- Test retrieval with queries and inspect which chunks are returned
- Download portable bundle (manifest + chunks + Chroma index folder)
What you get
A zip file with your chunked content, metadata manifest, and a Chroma vector index, ready to plug into a RAG assistant, server-side search endpoint, or AI-powered knowledge base. No custom infrastructure required.
What it does NOT do
This is not a hosted RAG platform. It doesn't auto-sync with your CMS or update when docs change. It's a one-time extraction and indexing tool for building RAG-ready knowledge packs. For production RAG deployments with auto-sync and API endpoints, you'll need additional infrastructure.