Back to Blog
February 20, 2024
Semantic Search for Legal Documents using Vector Embeddings
How we built a legal intelligence search engine using PostgreSQL, pgvector, and OpenAI embeddings to enable context-aware document retrieval.
This is a placeholder for the full article content. In a production environment, this would be rendered from MDX or a CMS.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Key Takeaways
- Understanding the core concepts of the technology.
- Implementation strategies for scalable systems.
- Best practices and common pitfalls to avoid.
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.