Closed kevinknights29 closed 2 weeks ago
• https://assets.amazon.science/06/42/450f375148feb5b237be0e132bad/conversational-text-to-sql-an-odyssey-into-state-of-the-art-and-challenges-ahead.pdf (SoTA Text2SQL) • https://arxiv.org/html/2403.06988v1 (contenido mas academico sobre constrained decoding) • https://medium.com/shape-ai/syntax-strategies-generating-constrained-sql-with-llms-57afc97ec6f1 (contenido mas didactico sobre constrained decoding) • https://aws.amazon.com/blogs/machine-learning/generating-value-from-enterprise-data-best-practices-for-text2sql-and-generative-ai/ (Text2SQL best practices) • https://medium.com/@OmkarSadekar/text-to-sql-using-llm-and-context-injection-with-rag-for-large-databases-8a2ae4f171ee (Text2SQL with Large DBs) • https://medium.com/google-cloud/architectural-patterns-for-text-to-sql-leveraging-llms-for-enhanced-bigquery-interactions-59756a749e15 (Text2SQL within GCP, este me parece que ya lo leiste) • https://api-journal.accscience.com/journal/article/preview?doi=10.36922/aih.2661 (Schema-less Text2SQL) • https://arxiv.org/pdf/2405.09593 (Schema-linking, muy interesante el concepto) • https://arxiv.org/html/2402.16347v1 (SoTA Text2SQL) • https://python.langchain.com/v0.2/docs/tutorials/sql_qa/#architecture (Langchain's PoV) • https://python.langchain.com/v0.2/docs/how_to/sql_large_db/ (Langchain's PoV) • https://aws.amazon.com/compare/the-difference-between-graph-and-relational-database/#:~:text=Graph%20databases%20are%20useful%20for,%2C%20and%20DELETE%E2%80%94on%20tables. (Graphs DB vs Relational DBs) • https://siwei.io/en/llm-text-to-nebulagraph-query/ (Graph DB Text2SQL)
Done!
kevinknights29
commented
2 weeks ago kevinknights29
commented
2 weeks ago
• https://assets.amazon.science/06/42/450f375148feb5b237be0e132bad/conversational-text-to-sql-an-odyssey-into-state-of-the-art-and-challenges-ahead.pdf (SoTA Text2SQL) • https://arxiv.org/html/2403.06988v1 (contenido mas academico sobre constrained decoding) • https://medium.com/shape-ai/syntax-strategies-generating-constrained-sql-with-llms-57afc97ec6f1 (contenido mas didactico sobre constrained decoding) • https://aws.amazon.com/blogs/machine-learning/generating-value-from-enterprise-data-best-practices-for-text2sql-and-generative-ai/ (Text2SQL best practices) • https://medium.com/@OmkarSadekar/text-to-sql-using-llm-and-context-injection-with-rag-for-large-databases-8a2ae4f171ee (Text2SQL with Large DBs) • https://medium.com/google-cloud/architectural-patterns-for-text-to-sql-leveraging-llms-for-enhanced-bigquery-interactions-59756a749e15 (Text2SQL within GCP, este me parece que ya lo leiste) • https://api-journal.accscience.com/journal/article/preview?doi=10.36922/aih.2661 (Schema-less Text2SQL) • https://arxiv.org/pdf/2405.09593 (Schema-linking, muy interesante el concepto) • https://arxiv.org/html/2402.16347v1 (SoTA Text2SQL) • https://python.langchain.com/v0.2/docs/tutorials/sql_qa/#architecture (Langchain's PoV) • https://python.langchain.com/v0.2/docs/how_to/sql_large_db/ (Langchain's PoV) • https://aws.amazon.com/compare/the-difference-between-graph-and-relational-database/#:~:text=Graph%20databases%20are%20useful%20for,%2C%20and%20DELETE%E2%80%94on%20tables. (Graphs DB vs Relational DBs) • https://siwei.io/en/llm-text-to-nebulagraph-query/ (Graph DB Text2SQL)