How We Built a Vector Database for SEC Filings Using PostgreSQL + pgvector
📰 Dev.to · Yash Joshi
Learn how to build a vector database for searching SEC filings using PostgreSQL and pgvector to enable semantic search capabilities
Action Steps
- Install PostgreSQL and pgvector extension
- Create a table to store SEC filings with a vector column
- Use a library like spaCy to generate vector embeddings for the documents
- Index the vector column using pgvector
- Test the search functionality using SQL queries
Who Needs to Know This
Data engineers and data scientists can benefit from this approach to enable efficient search and analysis of large document datasets, such as SEC filings
Key Insight
💡 Using a vector database enables search by meaning, not just keywords
Share This
Build a vector database for SEC filings using PostgreSQL + pgvector for semantic search #vectorsearch #postgres
Key Takeaways
Learn how to build a vector database for searching SEC filings using PostgreSQL and pgvector to enable semantic search capabilities
Full Article
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