{"id":22713721,"url":"https://github.com/jmanhype/dspy-multi-document-agents","last_synced_at":"2025-04-13T17:36:22.560Z","repository":{"id":235194545,"uuid":"790267131","full_name":"jmanhype/DSPy-Multi-Document-Agents","owner":"jmanhype","description":"An advanced distributed knowledge fabric for intelligent document processing, featuring multi-document agents, optimized query handling, and semantic understanding.","archived":false,"fork":false,"pushed_at":"2024-08-17T01:13:54.000Z","size":138,"stargazers_count":27,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-05T00:47:31.526Z","etag":null,"topics":["ai","distributed-systems","document-processing","knowledge-management","nlp","query-optimization","vector-search"],"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/jmanhype.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":"2024-04-22T15:11:50.000Z","updated_at":"2025-03-27T18:39:27.000Z","dependencies_parsed_at":"2024-04-22T16:42:45.111Z","dependency_job_id":"33a7bc71-7d28-4afc-8ee0-84c5e1e40e2f","html_url":"https://github.com/jmanhype/DSPy-Multi-Document-Agents","commit_stats":null,"previous_names":["jmanhype/dspy-multi-document-agents"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmanhype%2FDSPy-Multi-Document-Agents","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmanhype%2FDSPy-Multi-Document-Agents/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmanhype%2FDSPy-Multi-Document-Agents/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jmanhype%2FDSPy-Multi-Document-Agents/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jmanhype","download_url":"https://codeload.github.com/jmanhype/DSPy-Multi-Document-Agents/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248753194,"owners_count":21156229,"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":["ai","distributed-systems","document-processing","knowledge-management","nlp","query-optimization","vector-search"],"created_at":"2024-12-10T14:09:58.316Z","updated_at":"2025-04-13T17:36:22.535Z","avatar_url":"https://github.com/jmanhype.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Multi-Document Agent System (MDAS)\n\n## Overview\n\nMDAS leverages a distributed agent-based architecture to enhance document processing through a smart partitioning of textual documents. By encapsulating the semantic meaning of document partitions in semi-autonomous agents, it offers parallel querying and reasoning across a comprehensive knowledge space.\n\n## System Architecture\n\nDetailed documentation for the system architecture can be found in the following sections:\n\n- [Document Agents](https://github.com/jmanhype/DSPy-Multi-Document-Agents/blob/main/pages/system-architecture/document-agents.mdx)\n- [Qdrant Vector Database](https://github.com/jmanhype/DSPy-Multi-Document-Agents/blob/main/pages/system-architecture/qdrant-vector-database.mdx)\n- [Vector Embeddings](https://github.com/jmanhype/DSPy-Multi-Document-Agents/blob/main/pages/system-architecture/vector-embeddings.mdx)\n\n## Query Processing\n\nExplore how MDAS processes queries through these detailed documents:\n\n- [Master Agent](https://github.com/jmanhype/DSPy-Multi-Document-Agents/blob/main/pages/query-processing/master-agent.mdx)\n- [Query Planner](https://github.com/jmanhype/DSPy-Multi-Document-Agents/blob/main/pages/query-processing/query-planner.mdx)\n- [Reranking Module](https://github.com/jmanhype/DSPy-Multi-Document-Agents/blob/main/pages/query-processing/reranking-module.mdx)\n\n## Optimization Techniques\n\nUnderstand the optimization techniques used in MDAS:\n\n- [Bootstrapped Few-Shot Learning](https://github.com/jmanhype/DSPy-Multi-Document-Agents/blob/main/pages/optimization-techniques/bootstrapped-few-shot-learning.mdx)\n\n## Getting Started\n\nTo set up the MDAS:\n\n```bash\ngit clone https://github.com/jmanhype/DSPy-Multi-Document-Agents.git\ncd DSPy-Multi-Document-Agents\npip install -r requirements.txt\n```\n\n## Usage\n\nRun the system with:\n\n```bash\npython main.py\n```\n\n## Contributing\n\nContributions are welcome! Please fork the project, make your changes, and submit a pull request.\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjmanhype%2Fdspy-multi-document-agents","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjmanhype%2Fdspy-multi-document-agents","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjmanhype%2Fdspy-multi-document-agents/lists"}