Advanced RAG Pipeline
by AaaS · open-source · Last verified 2026-03-01
Production-grade RAG pipeline with hybrid search, reranking, contextual compression, and multi-index routing. Includes query decomposition, metadata filtering, evaluation metrics, and performance monitoring for enterprise deployments.
https://aaas.blog/script/rag-pipeline-advanced ↗C+
C+—Average
Adoption: BQuality: AFreshness: ACitations: C+Engagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- hybrid-search, reranking, contextual-compression, query-decomposition, evaluation-metrics
- Integrations
- langchain, pinecone-client, cohere, openai, tiktoken
- Use Cases
- production-rag, enterprise-search, high-accuracy-qa, multi-source-retrieval
- API Available
- No
- Language
- python
- Dependencies
- langchain, pinecone-client, cohere, openai, tiktoken, sentence-transformers
- Environment
- Python 3.11+ with 8GB+ RAM
- Est. Runtime
- 10-30 minutes depending on corpus size
- Tags
- script, automation, rag, pipeline, production
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
55.6Adoption
62
Quality
84
Freshness
86
Citations
56
Engagement
0