Update README.md (#321)

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Howard Chi
2024-05-26 16:44:14 +08:00
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@@ -106,8 +106,8 @@ WrenAI consists of three core services:
- [Top 4 Challenges using RAG with LLMs to Query Database (Text-to-SQL) and how to solve it.](https://blog.getwren.ai/4-key-technical-challenges-using-rag-with-llms-to-query-database-text-to-sql-and-how-to-solve-it-5d5a3d6682e5)
- [How we design our semantic engine for LLMs? The backbone of the semantic layer for LLM architecture.](https://blog.getwren.ai/how-we-design-our-semantic-engine-for-llms-84a00e6e3baa)
- [How do you use LangChain to build a Text-to-SQL solution? What are the challenges? How to solve it?](https://blog.getwren.ai/how-do-you-use-langchain-to-build-a-text-to-sql-solution-what-are-the-challenges-how-to-solve-it-b6d9c66aa038)
- [What we learned from Pinterest’s Text-to-SQL solution?](https://blog.getwren.ai/what-we-learned-from-pinterests-text-to-sql-solution-840fa5840635)
- [How Snowflake Copilot works building the most powerful SQL LLM in the world](https://blog.getwren.ai/what-we-learned-from-snowflake-copilot-building-the-most-powerful-sql-llm-in-the-world-52f82d661bc1)
- [Deep dive into how Pinterest built its Text-to-SQL solution.](https://blog.getwren.ai/what-we-learned-from-pinterests-text-to-sql-solution-840fa5840635)
- [How Snowflake building the most powerful SQL LLM in the world](https://blog.getwren.ai/what-we-learned-from-snowflake-copilot-building-the-most-powerful-sql-llm-in-the-world-52f82d661bc1)
## 🚧 Project Status