For Teams Building Production AI Systems

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.

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Innovative AI solution 2025 by
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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

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Trusted by Fast Growing Startups

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TechFlow
DataSync
CloudBase
ScalePoint
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FlexTech
NextGen
Aceternity
TechFlow
DataSync
CloudBase
ScalePoint
InnovateLabs
FlexTech
NextGen
Aceternity
TechFlow
DataSync
CloudBase
ScalePoint
InnovateLabs
FlexTech
NextGen
Aceternity
TechFlow
DataSync
CloudBase
ScalePoint
InnovateLabs
FlexTech
NextGen

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.

Data Sources4 indexed

refund-policy.pdf

File β€’ 245 KB

Indexed

product-docs.md

File β€’ 128 KB

Indexed

https://docs.acme.com

URL β€’ 89 KB

Indexed

FAQ snippets

Text β€’ 12 KB

Indexed
Documentation

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
View Documentation
query.sh
# 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 retrievalβ€”all 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.

EMB

text-embedding-3-small

OpenAI

Active
Vector Dimensions1,536
nomic-embed-text
Available
voyage-large-2
Available
embed-english-v3.0
Pro

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.

product-docs.pdfIndexed
api-reference.mdIndexed
support-faq.csvIndexed

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 ActiveIndexed

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

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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.

Get Started Free

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.

$0/mo
  • 1 Pipeline
  • Up to 3 Data Sources
  • 1MB Max Document Size
  • 100 Queries per day
  • Basic Chunking & Embeddings
Start Free
Popular

Pro

For production workloads and team integrations.

$15/mo flat fee
  • 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
Upgrade to Pro

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 free
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FAQs

Frequently Asked Questions

Find all your doubts and questions in one place. Still couldn't find what you're looking for?

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