{"id":17493751,"url":"https://github.com/ojasskapre/langchain-apps","last_synced_at":"2025-06-26T01:03:21.615Z","repository":{"id":240165859,"uuid":"801837325","full_name":"ojasskapre/langchain-apps","owner":"ojasskapre","description":"The project features two applications: a *Research Assistant* that generates research reports using LangChain, OpenAI's GPT-3.5, DuckDuckGo Search API; and a *Chat With Video* app that allows users to upload videos, transcribe audio with OpenAI's Whisper, and store the embeddings in Pinecone vector DB.","archived":false,"fork":false,"pushed_at":"2024-05-29T05:38:20.000Z","size":3268,"stargazers_count":8,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-10T21:38:13.314Z","etag":null,"topics":["langchain","openai","pinecone","python","streamlit"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ojasskapre.png","metadata":{"files":{"readme":"Readme.md","changelog":null,"contributing":null,"funding":null,"license":null,"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,"zenodo":null}},"created_at":"2024-05-17T02:28:57.000Z","updated_at":"2025-02-11T06:36:47.000Z","dependencies_parsed_at":"2024-05-17T04:27:32.753Z","dependency_job_id":"00c6a6c4-8c8f-4f9e-b6e4-93b716f0c5a2","html_url":"https://github.com/ojasskapre/langchain-apps","commit_stats":null,"previous_names":["ojasskapre/langchain-apps"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ojasskapre/langchain-apps","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ojasskapre%2Flangchain-apps","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ojasskapre%2Flangchain-apps/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ojasskapre%2Flangchain-apps/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ojasskapre%2Flangchain-apps/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ojasskapre","download_url":"https://codeload.github.com/ojasskapre/langchain-apps/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ojasskapre%2Flangchain-apps/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261978908,"owners_count":23239417,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["langchain","openai","pinecone","python","streamlit"],"created_at":"2024-10-19T12:41:54.524Z","updated_at":"2025-06-26T01:03:21.566Z","avatar_url":"https://github.com/ojasskapre.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Langchain Applications\n\n## Research Assistant\n\nThis project aims to create a research assistant using LangChain and OpenAI's GPT-3.5 model. The assistant can generate comprehensive research reports based on user-provided topics. The system utilizes web scraping, text summarization, and search query generation to gather and analyze information from various online sources.\n\n- [Demo](https://youtu.be/DjuXACWYkkU?si=_v1Yz0R9ygpTopP3)\n- [Readme](./research-assistant/Readme.md)\n\nReference (https://youtu.be/DjuXACWYkkU?si=_v1Yz0R9ygpTopP3)\n\n## Chat With Video\n\nThis project is a Streamlit based application allows users to upload videos, transcribe their audio using OpenAI's Whisper, and create embeddings with LangChain-OpenAI and store the embeddings in Pinecone Vector DB for further querying. Users can then chat with the video content by selecting transcribed videos and asking questions.\n\n- [Demo](https://youtu.be/jAmMG8sjI5c)\n- [Readme](./chat-with-video/Readme.md)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fojasskapre%2Flangchain-apps","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fojasskapre%2Flangchain-apps","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fojasskapre%2Flangchain-apps/lists"}