and invest in what Jill‚Äîour First Lady who teaches full-time‚Äîcalls America‚Äôs best-kept secret: community colleges.    --------------------------------------------------------------------------------Maximal Marginal Relevance Search (MMR)‚ÄãMaximal marginal relevance optimizes for similarity to query AND diversity among selected documents.docs_with_score = db.max_marginal_relevance_search_with_score(query)for doc, score in docs_with_score:    print("-" * 80)    print("Score: ", score)    print(doc.page_content)    print("-" * 80)    --------------------------------------------------------------------------------    Score:  0.18453882564037527    Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you‚Äôre at it, pass the Disclose Act so Americans can know who is funding our elections.         Tonight, I‚Äôd like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer‚Äîan Army veteran, Constitutional scholar, and retiring Justice of the United States Supreme Court. Justice Breyer, thank you for your service.         One of the most serious constitutional responsibilities a President has is nominating someone to serve on the United States Supreme Court.         And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation‚Äôs top legal minds, who will continue Justice Breyer‚Äôs legacy of excellence.    --------------------------------------------------------------------------------    --------------------------------------------------------------------------------    Score:  0.23523731441720075    We can‚Äôt change how divided we‚Äôve been. But we can change how we move forward‚Äîon COVID-19 and other issues we must face together.         I recently visited the New York City Police Department days after the funerals of Officer Wilbert Mora and his partner, Officer Jason Rivera.         They were responding to a
PGVector is an open-source vector similarity search for Postgres
PGVector is an open-source vector similarity search for Postgres ->: and invest in what Jill‚Äîour First Lady who teaches full-time‚Äîcalls America‚Äôs best-kept secret: community colleges.    --------------------------------------------------------------------------------Maximal Marginal Relevance Search (MMR)‚ÄãMaximal marginal relevance optimizes for similarity to query AND diversity among selected documents.docs_with_score = db.max_marginal_relevance_search_with_score(query)for doc, score in docs_with_score:    print("-" * 80)    print("Score: ", score)    print(doc.page_content)    print("-" * 80)    --------------------------------------------------------------------------------    Score:  0.18453882564037527    Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you‚Äôre at it, pass the Disclose Act so Americans can know who is funding our elections.         Tonight, I‚Äôd like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer‚Äîan Army veteran, Constitutional scholar, and retiring Justice of the United States Supreme Court. Justice Breyer, thank you for your service.         One of the most serious constitutional responsibilities a President has is nominating someone to serve on the United States Supreme Court.         And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation‚Äôs top legal minds, who will continue Justice Breyer‚Äôs legacy of excellence.    --------------------------------------------------------------------------------    --------------------------------------------------------------------------------    Score:  0.23523731441720075    We can‚Äôt change how divided we‚Äôve been. But we can change how we move forward‚Äîon COVID-19 and other issues we must face together.         I recently visited the New York City Police Department days after the funerals of Officer Wilbert Mora and his partner, Officer Jason Rivera.         They were responding to a