{"id":26856874,"url":"https://github.com/leodeveloper/qasimilaritysearchchroma","last_synced_at":"2025-03-31T00:29:53.121Z","repository":{"id":238296677,"uuid":"796269149","full_name":"leodeveloper/QASimilaritySearchChroma","owner":"leodeveloper","description":"This project is dedicated to creating a robust Question and Answer (Q\u0026A) similarity search application using Python including Jupyter Notebook, Chroma Database, Vector Database, LangChain, large language models, RetrievalQA, ChatGPT, OpenAI Embeddings, PyPDFDirectoryLoader, and RecursiveCharacterTextSplitter","archived":false,"fork":false,"pushed_at":"2024-05-06T15:43:45.000Z","size":7810,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-05-07T14:27:15.983Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","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/leodeveloper.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}},"created_at":"2024-05-05T13:02:39.000Z","updated_at":"2024-05-06T15:43:48.000Z","dependencies_parsed_at":"2024-05-05T14:25:59.262Z","dependency_job_id":"838e4152-5574-4076-a5e8-7bcae219059a","html_url":"https://github.com/leodeveloper/QASimilaritySearchChroma","commit_stats":null,"previous_names":["leodeveloper/qasimilaritysearchchroma"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/leodeveloper%2FQASimilaritySearchChroma","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/leodeveloper%2FQASimilaritySearchChroma/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/leodeveloper%2FQASimilaritySearchChroma/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/leodeveloper%2FQASimilaritySearchChroma/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/leodeveloper","download_url":"https://codeload.github.com/leodeveloper/QASimilaritySearchChroma/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246399822,"owners_count":20770907,"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":[],"created_at":"2025-03-31T00:29:52.426Z","updated_at":"2025-03-31T00:29:53.089Z","avatar_url":"https://github.com/leodeveloper.png","language":"Jupyter Notebook","readme":"# Question and Answer Similarity Search Application\n\nThis project is dedicated to creating a robust Question and Answer (Q\u0026A) similarity search application using Python. By leveraging a variety of tools and technologies including Jupyter Notebook, Chroma Database, Vector Database, LangChain, large language models, RetrievalQA, ChatGPT, OpenAI Embeddings, PyPDFDirectoryLoader, and RecursiveCharacterTextSplitter, we aim to deliver a comprehensive solution for finding similarities between questions and answers.\n\n## Features\n\n- **Semantic Similarity**: Utilize state-of-the-art language models and embeddings to compute semantic similarity between questions and answers.\n- **Vector Database**: Store and manage question-answer pairs efficiently using a vector database.\n- **Intuitive Interface**: Develop a user-friendly interface, possibly with Jupyter Notebook, to facilitate easy interaction with the application.\n- **Extensibility**: Design the application in a modular fashion to allow for easy integration of additional features and enhancements.\n- **Efficient Search**: Implement efficient search algorithms to quickly retrieve similar questions and answers from the database.\n- **PDF Support**: Incorporate functionality to handle PDF documents using PyPDFDirectoryLoader and RecursiveCharacterTextSplitter.\n\n## Technologies Used\n\n- **Python**: The primary programming language for the application logic.\n- **Jupyter Notebook**: Possibly used for developing and presenting the application interface.\n- **Chroma Database**: Store and manage data efficiently.\n- **Vector Database**: Manage question-answer pairs using vectors for fast retrieval.\n- **LangChain**: Utilize for language processing tasks and feature extraction.\n- **Large Language Model**: Leverage a large language model like ChatGPT for generating responses and computing similarity.\n- **RetrievalQA**: Framework for building question-answering systems.\n- **OpenAI Embeddings**: Generate embeddings for text data to represent semantic meaning.\n- **PyPDFDirectoryLoader**: Library for loading text from PDF documents.\n- **RecursiveCharacterTextSplitter**: Tool for splitting text into smaller, more manageable units.\n\n## Installation\n\n1. Clone the repository:\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fleodeveloper%2Fqasimilaritysearchchroma","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fleodeveloper%2Fqasimilaritysearchchroma","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fleodeveloper%2Fqasimilaritysearchchroma/lists"}