{"id":19819209,"url":"https://github.com/es7/langchain-for-llms","last_synced_at":"2026-06-15T07:32:51.953Z","repository":{"id":241277620,"uuid":"803916705","full_name":"ES7/LangChain-for-LLMs","owner":"ES7","description":null,"archived":false,"fork":false,"pushed_at":"2024-05-23T08:41:16.000Z","size":17,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-05-23T09:40:06.759Z","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":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ES7.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":"2024-05-21T15:50:53.000Z","updated_at":"2024-05-23T09:40:11.514Z","dependencies_parsed_at":"2024-05-23T09:40:11.390Z","dependency_job_id":"2a264a2b-7a33-40b0-b2cf-b8825f48e360","html_url":"https://github.com/ES7/LangChain-for-LLMs","commit_stats":null,"previous_names":["es7/langchain-for-llms"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ES7/LangChain-for-LLMs","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ES7%2FLangChain-for-LLMs","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ES7%2FLangChain-for-LLMs/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ES7%2FLangChain-for-LLMs/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ES7%2FLangChain-for-LLMs/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ES7","download_url":"https://codeload.github.com/ES7/LangChain-for-LLMs/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ES7%2FLangChain-for-LLMs/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34353193,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-15T02:00:07.085Z","response_time":63,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":"2024-11-12T10:18:14.543Z","updated_at":"2026-06-15T07:32:51.923Z","avatar_url":"https://github.com/ES7.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# LangChain-for-LLMs\nLangChain is a framework designed for developing applications powered by language models. It provides a set of tools and abstractions that make it easier to build complex applications that leverage the capabilities of large language models (LLMs) like OpenAI's GPT-4. LangChain is especially useful for tasks that require integrating language models with other systems, managing interactions, and handling the flow of data.\n\n**`1. Model_Prompt_Parser.ipynb` :-** In this notebook we will see the models used in langchain, what are prompt templates, and what is parsing in langchain.\n\n**`2. Memory.ipynb` :-** In this notebook we will see the different ways to store the history of conversation in langchain.\n\n**`3. Chains.ipynb` :-** In this notebook we will see what are chains and its types and how to use it.\n\n**`4. QnA.ipynb` :-** In this notebook we will pass a document and ask questions to the langauge model via Chains, we will also see some methods to perform this task.\n\n**`5. Evaluation.ipynb` :-** In this notebook we will see how can we evaluate our code using LangChain.\n\n**`6. Agents.ipynb` :-** In this notebook we will see what are agents in langchain and how to use it.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fes7%2Flangchain-for-llms","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fes7%2Flangchain-for-llms","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fes7%2Flangchain-for-llms/lists"}