Build, Connect, and Deploy agenticΒ AI Systems
Jabrod is an AI workspace for developers to build RAG pipelines, intelligent agents, and production-ready AI workflows β from experimentation to deployment.
Design your Workflow
A drag-and-drop interface to create, connect, and configure agents into logical workflows
Connect your Tools
Agents operate independently and coordinate tasks to complete all complex goals together
Deploy & Scale
Run agent workflows in a sandbox to preview behavior, debug logic, and test interactions
Trusted by Fast Growing Startups
How it works
Three steps to semantic search
Create a pipeline, add your documents, and query via our REST API β Jabrod handles the chunking, embedding, and retrieval.
refund-policy.pdf
File β’ 245 KB
product-docs.md
File β’ 128 KB
https://docs.acme.com
URL β’ 89 KB
FAQ snippets
Text β’ 12 KB
Everything you need to build
Comprehensive API reference, core concepts, and guides to help you integrate Jabrod RAG pipelines into your applications quickly.
Simple, powerful REST API
Query your knowledge bases from any language or framework. Generate a pipeline-scoped API key and start making semantic search requests in seconds.
- Pipeline-scoped API keys for secure access
- Semantic search with configurable Top K
- Multiple chunking strategies (Fixed, Sentence, Semantic)
- Support for OpenAI, Nomic, Cohere, and Voyage embeddings
# Query your pipeline with semantic search
curl -X POST https://api.jabrod.com/api/rag/query \
-H "Authorization: Bearer rag_your_key" \
-H "Content-Type: application/json" \
-d '{
"query": "What is the refund policy?",
"topK": 5
}'
# Response
{
"results": [{
"content": "Returns within 30 days...",
"score": 0.89
}]
}Features
Everything You Need in One Workspace
Manage your RAG pipelines, process data sources, and monitor vector retrievalβall securely from Jabrod's unified workspace
RAG Pipeline Management
Configure multiple pipelines with different chunking and embedding strategies. Manage all your vector storage namespaces from a unified dashboard.
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OpenAI
Instant RAG Pipelines
Turn your documents into an intelligent knowledge base instantly. No complex vector DB setup required.
Data Source Ingestion
Upload PDFs, Markdown, CSVs, or provide raw URLs and APIs. Our ingestion engine handles the rest.
Enterprise Security
Bank-level security for your knowledge bases. End-to-end encryption, secure authentication, and strict access controls.
Real-time Monitoring
Monitor agent execution in real-time. Track token usage, query performance, and user interactions as they happen.
Flexible API
Extend Jabrod with custom code. Connect to your existing infrastructure through our flexible platform API.
Use Cases
Across various Industries
Turn your documents into intelligent knowledge bases. Jabrod powers semantic search and AI retrieval across every industry.
Customer Support
Build AI-powered support bots with your documentation as the knowledge base. Resolve tickets faster with instant, context-aware answers.
SalesOps
Semantic search across product catalogs, pricing docs, and sales playbooks. Help reps find the right answer in seconds.
DevOps
Query infrastructure runbooks, incident reports, and architecture docs using natural language. Reduce mean time to resolution.
DataOps
Search across data dictionaries, schema docs, and ETL pipeline documentation. Make data discovery effortless for your team.
FinOps
Intelligent retrieval from compliance documents, financial reports, and regulatory filings. Surface critical information instantly.
Supply Chain
Query logistics documentation, supplier contracts, and inventory records with natural language. Streamline operations at scale.
Benefits
RAG Infrastructure, Simplified
Stop building RAG from scratch. Jabrod handles the hard parts β chunking, embeddings, vector storage, and retrieval β so you can focus on your application.
Launch Faster
Go from documents to a searchable knowledge base in minutes. No vector DB setup, no embedding pipeline wiring β Jabrod handles it all.
Iterate Rapidly
Change your chunking strategy or embedding model and re-index with one click. No code changes, no redeployments needed.
Scale Smarter
From 100 queries/day on Free to 10,000/day on Pro β scale your RAG infrastructure as your usage grows, without changing your integration.
Pipeline Dashboard
Queries
Relevance
Sources
Reuse Intelligence
One pipeline, multiple deployment targets β REST API, website chatbot, Slack bot, or mobile app. Build once, deploy everywhere.
Prevent Hallucinations
Configurable similarity thresholds filter out low-relevance results. If your knowledge base doesn't have the answer, the API returns empty β no guessing.
Automate Ingestion
Upload files, paste URLs, or connect APIs. Jabrod automatically parses, chunks, embeds, and stores your data in the vector database.
Join Our Growing Community
Be among the first to build with Jabrod
Early Stage
Growing developer community
RAG-First
Enterprise-grade pipelines
API-Ready
Query from any language

Start building with Jabrod today
Create your first RAG pipeline, add your documents, and start querying with our REST API β all on the free tier. No credit card required.
Pricing
Simple and Transparent Pricing
Start free. Upgrade to Pro when you need more pipelines, queries, and advanced features.
Free
Perfect for prototyping and small side projects.
- 1 Pipeline
- Up to 3 Data Sources
- 1MB Max Document Size
- 100 Queries per day
- Basic Chunking & Embeddings
Pro
For production workloads and team integrations.
- 10 Pipelines
- Up to 25 Data Sources per pipeline
- 50MB Max Document Size
- 10,000 Queries per day
- Semantic & Advanced Chunking
- Premium Embeddings (Cohere/Voyage)
- 30-Day Conversational Memory
Enterprise
For large-scale deployments
- Everything in Pro
- Unlimited pipelines
- Unlimited queries & ingestion
- Custom storage limits
- SSO/SAML integration
- Custom SLA (99.9%+)
- Dedicated support manager
For Security First Teams
Your data, secured by design
Every pipeline gets isolated vector storage on Upstash. API keys are scoped per-pipeline and shown only once at creation. All traffic is encrypted in transit.
Start for freeFAQs
Frequently Asked Questions
Find all your doubts and questions in one place. Still couldn't find what you're looking for?