Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB
Summary: FlockMTL embeds LLMs/RAG in DuckDB via PROMPT/MODEL DDLs, exposing LLM-backed scalar/aggregate functions for chained tuple predictions and hybrid search. Relational optimizations (batching, meta-prompting) and resource-independent abstractions reduce data movement and orchestration. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Anas Dorbani
- 2. Sunny Yasser
- 3. Jimmy Lin
- 4. Amine Mhedhbi
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 185 | DuckDB: an Embeddable Analytical Database | 2019 | SIGMOD | 0.00036538405 |
| 2,106 | Palimpzest: Optimizing AI-Powered Analytics with Declarative Query Processing | 2025 | CIDR | 9.5342543e-05 |
| 3,359 | Text2SQL is Not Enough: Unifying AI and Databases with TAG | 2025 | CIDR | 7.1744146e-05 |
| 5,840 | Logical and Physical Optimizations for SQL Query Execution over Large Language Models | 2025 | SIGMOD | 5.3042561e-05 |
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