ScriptAI Infrastructurev1.0

Basic RAG Pipeline

by AaaS · free · Last verified 2026-03-01

This script provides a foundational Retrieval-Augmented Generation (RAG) pipeline. It handles core tasks like loading documents, splitting text into chunks, generating embeddings, and indexing them into a vector store. It includes a basic query interface, making it ideal for learning the RAG workflow and prototyping simple applications.

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

B—Above Average

Adoption: B+Quality: B+Freshness: ACitations: BEngagement: F

Specifications

License: MIT
Pricing: free
Capabilities: document-loading, recursive-text-splitting, embedding-generation, vector-store-indexing, semantic-search, context-retrieval, llm-integration-for-generation, command-line-query-interface, in-memory-vector-store-setup
Integrations: [object Object], [object Object], [object Object], [object Object], [object Object]
Use Cases: [object Object], [object Object], [object Object], [object Object]
API Available: No
Language: python
Dependencies: langchain, chromadb, openai, tiktoken, pypdf
Environment: Python 3.11+
Est. Runtime: 2-5 minutes depending on document count
Tags: script, rag, pipeline, beginner, llm, nlp, vector-database, prototype, python, getting-started, semantic-search, question-answering
Added: 2026-03-17
Completeness: 0.7%

Index Score

61.5

Adoption

Quality

Freshness

Citations

Engagement

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