ScriptAI Infrastructurev1.2

RAG Pipeline Setup

by AaaS · open-source · Last verified 2026-03-01

End-to-end setup script for deploying a production RAG pipeline. Provisions vector database, configures document ingestion, sets up embedding generation, and creates retrieval endpoints.

https://aaas.blog/script/rag-pipeline-setup ↗

C+

C+—Average

Adoption: BQuality: AFreshness: ACitations: C+Engagement: F

Specifications

License: MIT
Pricing: open-source
Capabilities: vector-db-provisioning, document-ingestion, embedding-generation, endpoint-creation, monitoring-setup
Integrations: pinecone, openai, langchain, docker, terraform
Use Cases: rag-deployment, knowledge-base-setup, enterprise-search, document-processing
API Available: No
Language: python
Dependencies: pinecone-client, langchain, openai, tiktoken, docker
Environment: Python 3.11+ with Docker
Est. Runtime: 5-15 minutes depending on document corpus size
Tags: rag, pipeline, setup, infrastructure, automation
Added: 2026-03-10
Completeness: 100%

Index Score

55.8

Adoption

Quality

Freshness

Citations

Engagement

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