{"id":26814605,"url":"https://github.com/iteralabs/molina","last_synced_at":"2026-01-23T00:29:06.660Z","repository":{"id":257062449,"uuid":"855742217","full_name":"IteraLabs/molina","owner":"IteraLabs","description":"A Rust and Python Synthetic Integration for an agentic-LLM approach to build a research agent for local knowledge representation.","archived":false,"fork":false,"pushed_at":"2024-10-19T22:56:12.000Z","size":1848,"stargazers_count":1,"open_issues_count":1,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2024-10-20T06:41:23.155Z","etag":null,"topics":["llm","machine-learning","python","rag","rust"],"latest_commit_sha":null,"homepage":"","language":"Rust","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/IteraLabs.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":"2024-09-11T11:50:43.000Z","updated_at":"2024-10-19T22:56:15.000Z","dependencies_parsed_at":"2024-09-14T17:17:33.490Z","dependency_job_id":"ff7d043c-becd-4427-81c2-84ca5e1ee23e","html_url":"https://github.com/IteraLabs/molina","commit_stats":null,"previous_names":["deml-research/molina","iteralabs/molina"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IteraLabs%2Fmolina","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IteraLabs%2Fmolina/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IteraLabs%2Fmolina/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IteraLabs%2Fmolina/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/IteraLabs","download_url":"https://codeload.github.com/IteraLabs/molina/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250487643,"owners_count":21438629,"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":["llm","machine-learning","python","rag","rust"],"created_at":"2025-03-30T02:16:23.152Z","updated_at":"2025-04-23T18:21:10.978Z","avatar_url":"https://github.com/IteraLabs.png","language":"Rust","funding_links":[],"categories":[],"sub_categories":[],"readme":"# molina\n\nWelcome to the `molina` project, a synthetic research agent for local knowledge representation.\n\nNotice here the absence of the terms `Artificial` and `Intelligence`, this is deliverate.\nThis is not an `artificially sweetened` project, is not a claim to be the panacea, neither \nthe $n-th$ attempt to solve general let alone narrow intelligence because this is definitely\nnot a claim of something being intelligent. \n\nWhat is this then ?, a tool, built with an agentic approach, for you to interact with by the \nact of formulating research-related questions, which will get you responses using *only* the \nacademic papers you provide as the *knowledge base*.\n\nThe name is in honor to THE greatest Mexican researcher of all times, [Mario Molina (1943-2020)](https://es.wikipedia.org/wiki/Mario_Molina_(químico)).\n\n## Problems\n\nChallenges of the use of Large Language Models (LLMs), as an academic research assistant, are:  \n\n- Hallucination.\n- Lack of domain-specific knowledge.\n- Outdated information.\n- Bias in Training Data.\n- Interpretability and Response Attribution.\n\nThose seem very closely related to what a expert human research should also avoid.\n\n## Install\n\nClone the repo\n\n```shell\ngit clone https://github.com/iteralabs/molina\n```\n\nCreate a virtual environment and source into it.\n\n```shell\npython -m venv local_venv\nsource local_venv/bin/activate\n```\n\nInstall packages dependencies with *pip*\n\n\n```shell\npip install -r requirements.txt\n```\n\n```shell\npython molina/main.py\n```\n\n## Copyright disclaimer\n\nThe purpose of this tool is not to promote or condone the unauthorized downloading or use of copyrighted materials. All users of this should only use legally obtained documents, self-archive documents and materials in their projects.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiteralabs%2Fmolina","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fiteralabs%2Fmolina","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiteralabs%2Fmolina/lists"}