ScriptAI Infrastructurev1.0

Multi-Source RAG

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

RAG pipeline that queries multiple specialized vector indexes and merges results with intelligent routing. Implements source-aware retrieval with automatic query classification, per-source relevance scoring, and citation tracking across diverse knowledge domains.

https://aaas.blog/script/multi-source-rag ↗

C—Below Average

Adoption: CQuality: B+Freshness: ACitations: CEngagement: F

Specifications

License: MIT
Pricing: open-source
Capabilities: multi-index-routing, query-classification, result-merging, citation-tracking, source-attribution
Integrations: langchain, pinecone-client, openai, tiktoken
Use Cases: multi-domain-qa, federated-search, cross-department-knowledge, research-synthesis
API Available: No
Language: python
Dependencies: langchain, pinecone-client, openai, tiktoken, pydantic
Environment: Python 3.11+ with access to multiple vector store instances
Est. Runtime: 3-10 minutes for setup; queries sub-second
Tags: script, automation, rag, multi-source, routing
Added: 2026-03-17
Completeness: 100%

Index Score

45.8

Adoption

Quality

Freshness

Citations

Engagement

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