{"data":{"slug":"venuv-langchain-semantic-search","name":"langchain_semantic_search","tagline":"Semantic search for Google Drive files using GPT3, LangChain, and Python","github_url":"https://github.com/venuv/langchain_semantic_search","owner":"venuv","repo":"langchain_semantic_search","owner_avatar_url":"https://avatars.githubusercontent.com/u/1031925?v=4","primary_language":"Jupyter Notebook","stars":44,"forks":8,"topics":[],"archived":false,"github_pushed_at":"2023-02-07T11:42:25+00:00","maintenance_label":"Dormant","stars_delta_30d":0,"url":"https://www.graphcanon.com/tools/venuv-langchain-semantic-search","markdown_url":"https://www.graphcanon.com/tools/venuv-langchain-semantic-search.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/venuv-langchain-semantic-search","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=venuv-langchain-semantic-search","description":"Search and indexing your own Google Drive Files using GPT3, LangChain, and Python","homepage_url":null,"license":null,"open_issues":0,"watchers":1,"ai_summary":"A Jupyter notebook to enable building a FAISS index from documents stored in Google Drive and performing semantic searches over these documents.","readme_excerpt":"## Search and indexing your own Google Drive Files using GPT3, LangChain, and Python.\n\nThe jupyter notebook included here (langchain_semantic_search.ipynb) will enable you to build a FAISS index on your document corpus of interest, and search it using semantic search. Details of this flowchart are described in https://medium.com/@venuv62/can-chatgpt-be-your-bff-code-companion-4375fd73ec3a. \n\n\n\n\nI've provided a test directory of Neuromodulation papers if you want to as a sample Drive folder to test against -  https://drive.google.com/drive/folders/1eIBnSO7MVOW9-BKPCJhs7JuBDRyXPOFC?usp=sharing. Since the code needs a Google Drive directory path (not an https URL) to work with, you will have to :\n- copy the contents of this directory into a GDrive subdirectory of your own\n- set the gdrive_path variable in the jupyter notebook appropriately\n- set the question within print_answer to 'is sleep a health epidemic' for instance, which should give you a non-null answer\n\nI will be working on a few enhancements to speed up the indexing (perhaps using a Vectorstore) and to optimize the query cost (using ideas from https://gpt-index.readthedocs.io/en/latest/how_to/cost_analysis.html)","github_created_at":"2023-02-07T06:43:55+00:00","created_at":"2026-07-11T10:52:43.285488+00:00","updated_at":"2026-08-15T12:01:13.067234+00:00","categories":[{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"slug":"vector-databases","name":"Vector Databases","url":"https://www.graphcanon.com/categories/vector-databases","markdown_url":"https://www.graphcanon.com/categories/vector-databases.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/vector-databases"}],"tags":[{"slug":"faiss","name":"faiss"},{"slug":"google-drive","name":"google drive"},{"slug":"gpt3","name":"gpt3"},{"slug":"langchain","name":"langchain"},{"slug":"semantic-search","name":"semantic-search"}],"trust":{"provenance":{"is_fork":false,"github_id":598462314,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-15T12:01:12.342Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":1285,"last_release_at":null,"stars_delta_30d":0,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T10:52:45.116Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-15T12:01:12.799Z"},"languages":{"value":["jupyter notebook"],"source":"github.language","observed_at":"2026-08-15T12:01:12.799Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["Need semantic search capabilities specifically for your own documents in Google Drive","Want to leverage the combination of Faiss indexing and GPT3's text analysis on private documents"],"when_not_to_use":["Seeking a solution that supports large-scale, real-time or non-Google Drive document collections","Require a fully integrated end-to-end service without configuration for drive paths"],"source":"enrich:decision_facts","observed_at":"2026-07-12T16:15:19.072Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Builds a FAISS index for semantic search over Google Drive files using LangChain, GPT3, Jupyter Notebook."}]}}