{"id":25434424,"url":"https://github.com/prateekmaj21/faiss_fastapi_project","last_synced_at":"2026-04-10T21:03:38.517Z","repository":{"id":248244485,"uuid":"828173159","full_name":"prateekmaj21/faiss_fastapi_project","owner":"prateekmaj21","description":"An application that performs CRUD (Create, Read, Update, Delete) operations on a FAISS (Facebook AI Similarity Search) database using Python.","archived":false,"fork":false,"pushed_at":"2024-07-23T07:04:41.000Z","size":58,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-14T21:12:41.218Z","etag":null,"topics":["database","faiss","fastapi","python"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/prateekmaj21.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-07-13T10:36:11.000Z","updated_at":"2025-02-10T15:06:15.000Z","dependencies_parsed_at":"2024-07-13T11:50:14.619Z","dependency_job_id":"33b1fbfc-11cf-4bff-b108-be1287e10b17","html_url":"https://github.com/prateekmaj21/faiss_fastapi_project","commit_stats":null,"previous_names":["prateekmaj21/faiss_fastapi_project"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/prateekmaj21/faiss_fastapi_project","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prateekmaj21%2Ffaiss_fastapi_project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prateekmaj21%2Ffaiss_fastapi_project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prateekmaj21%2Ffaiss_fastapi_project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prateekmaj21%2Ffaiss_fastapi_project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/prateekmaj21","download_url":"https://codeload.github.com/prateekmaj21/faiss_fastapi_project/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prateekmaj21%2Ffaiss_fastapi_project/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31658975,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-10T17:19:37.612Z","status":"ssl_error","status_checked_at":"2026-04-10T17:19:13.364Z","response_time":98,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["database","faiss","fastapi","python"],"created_at":"2025-02-17T06:16:48.652Z","updated_at":"2026-04-10T21:03:38.502Z","avatar_url":"https://github.com/prateekmaj21.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Implementing CRUD Operations with FAISS and FastAPI:\n\nFAISS (Facebook AI Similarity Search) is a library that allows developers to quickly search for embeddings of multimedia documents that are similar to each other.\n\nVideo Implementation: [Youtube](https://www.youtube.com/watch?v=4iSwOqPG-vs)\n\n\nCheck Project_Details document for more information.\n\n#### Important:\n\n- Create a Python module `faiss_crud.py` to manage the FAISS index and perform CRUD operations.\n- main.py for the Main Application.\n- pip install -r `requirements.txt`\n\n\n#### Running Uvicorn Directly Using Python:\nEnsure you are in the project directory:\n\ncd (PATH)faiss_fastapi_project\n\npython -m uvicorn main:app --reload\n\n\n#### Setup Postman for CRUD Operations:\n\nPostman is a software application that allows developers to test, document, and share APIs (Application Programming Interfaces).\n\n#### Transformer Used: \nhttps://huggingface.co/sentence-transformers/all-MiniLM-L6-v2\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprateekmaj21%2Ffaiss_fastapi_project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprateekmaj21%2Ffaiss_fastapi_project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprateekmaj21%2Ffaiss_fastapi_project/lists"}