{"payload":{"header_redesign_enabled":false,"results":[{"id":"671933045","archived":false,"color":"#3572A5","followers":11,"has_funding_file":false,"hl_name":"ksmin23/rag-with-postgresql-pgvector-and-sagemaker","hl_trunc_description":"Question Answering application with Large Language Models (LLMs) and Amazon Aurora Postgresql using pgvector","language":"Python","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":671933045,"name":"rag-with-postgresql-pgvector-and-sagemaker","owner_id":4167885,"owner_login":"ksmin23","updated_at":"2024-02-29T15:01:52.605Z","has_issues":true}},"sponsorable":false,"topics":["postgresql","rag","llms","generative-ai","pgvector","vectordb"],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false}],"type":"repositories","page":1,"page_count":1,"elapsed_millis":74,"errors":[],"result_count":1,"facets":[],"protected_org_logins":[],"topics":null,"query_id":"","logged_in":false,"sign_up_path":"/signup?source=code_search_results","sign_in_path":"/login?return_to=https%3A%2F%2Fgithub.com%2Fsearch%3Fq%3Drepo%253Aksmin23%252Frag-with-postgresql-pgvector-and-sagemaker%2B%2Blanguage%253APython","metadata":null,"csrf_tokens":{"/ksmin23/rag-with-postgresql-pgvector-and-sagemaker/star":{"post":"rAdmz5iSQusdBrILSyWwFTWfA-gAs9Arrknd5ADhSz7PQm2oIeDNyBe0UU0nEdl5UNb_S79Iw6W0aB27HXm7vA"},"/ksmin23/rag-with-postgresql-pgvector-and-sagemaker/unstar":{"post":"Wc09uVsarfCEbxulcK74tZrK5MK4OboLcUfJOOPYrMKlbQun08BjOxkx8kW3v9yagjYMhdZikmI698VS-SmXJA"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"jfhLMQdJZyAN63wsrqVvSR1JajgdTejSZkg8PlJL4kmTq6xumAp2x2d3vHKIBFPF1nFohwK3Ej-zKe21TCcZHQ"}}},"title":"Repository search results"}