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AI knowledge base builder

AI knowledge base builder for teams that run on documents

BrainVault lets you upload internal files, index them with embeddings, and chat with your knowledge base using source-cited answers.

Credit-based pricing: 5 credits upload, 2 credits per query.
Knowledge Base Builder Interactive Demo
Live preview

Query simulation

Conversation mode

Enterprise onboarding SLA is 48 hours after signed intake confirmation, with escalation to CS lead at 36-hour risk.

support-sop.mdonboarding-playbook.pdf

How it works

Step 1
Create a knowledge base

Start a workspace for a team, function, or customer context.

Step 2
Upload and index files

BrainVault chunks and indexes supported documents for semantic retrieval.

Step 3
Ask document-grounded questions

Query your knowledge base and receive source-backed answers you can trust.

Feature highlights

RAG-ready document indexing

Uses vector search to retrieve the most relevant chunks before generating responses.

Source-cited answers

Each response includes references to the document sources used during generation.

Multi-format upload support

Supports common working formats including PDF, DOCX, TXT, and Markdown files.

Knowledge base isolation

Keep separate workspaces for clients, teams, or business functions.

History-aware querying

Track and revisit previous questions to maintain context over time.

Example input and output

Input example

Knowledge base: Customer Support SOPs Question: What is the escalation path for repeated billing failure reports?

Output example

Answer: Escalate to Billing Ops after the second unresolved incident within 7 days, then notify the Support Lead for account-level intervention [support-sop.md, billing-runbook.pdf].

FAQ

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