{"id":25692702,"url":"https://github.com/danitilahun/langchain_projects","last_synced_at":"2026-04-12T00:07:02.833Z","repository":{"id":279069021,"uuid":"937512370","full_name":"Danitilahun/Langchain_projects","owner":"Danitilahun","description":"This repository hosts diverse Langchain projects featuring chains, retrievers, tools, agents, RAG pipelines, vector databases (FAISS, Pinecone , Chroma), and integrations with Langsmith and Langserve via FastAPI.","archived":false,"fork":false,"pushed_at":"2025-02-23T14:55:02.000Z","size":5563,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-23T15:35:00.741Z","etag":null,"topics":["chroma","embeddings","faiss-vector-database","fastapi","langchain","llm","ollama","openai","pinecone","rag","retrieval-augmented-generation","vector-database"],"latest_commit_sha":null,"homepage":"","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/Danitilahun.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":"2025-02-23T08:33:22.000Z","updated_at":"2025-02-23T14:56:12.000Z","dependencies_parsed_at":"2025-02-23T15:45:11.841Z","dependency_job_id":null,"html_url":"https://github.com/Danitilahun/Langchain_projects","commit_stats":null,"previous_names":["danitilahun/langchain_projects"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Danitilahun%2FLangchain_projects","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Danitilahun%2FLangchain_projects/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Danitilahun%2FLangchain_projects/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Danitilahun%2FLangchain_projects/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Danitilahun","download_url":"https://codeload.github.com/Danitilahun/Langchain_projects/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240573547,"owners_count":19822860,"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":["chroma","embeddings","faiss-vector-database","fastapi","langchain","llm","ollama","openai","pinecone","rag","retrieval-augmented-generation","vector-database"],"created_at":"2025-02-24T23:28:14.678Z","updated_at":"2026-04-12T00:07:02.794Z","avatar_url":"https://github.com/Danitilahun.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"Langchain Projects\n\n## Visual Overviews\n\n### General Ecosystem\n![Langchain Overview](image/langchain_stack.webp)  \n*This image provides a high-level view of Langchain's ecosystem, showcasing its modular design and the integration of various components such as chains, agents, retrievers, and vector databases.*\n\n### Architecture Diagram\n![Langchain Architecture](image/modules.png)  \n*This diagram highlights key components of Langchain, including:  \n\t- **Chains \u0026 Agents:** Modules to manage sequential tasks and decision-making.  \n\t- **Retrievers \u0026 RAG:** Systems to fetch and augment data for improved responses.  \n\t- **Vector Databases:** Integration with FAISS, Chroma, and more for efficient data storage and retrieval.  \n\t- **LLMs \u0026 Embeddings:** Support for models like OpenAI and Ollama, with embedding techniques from Hugging Face and others.  \n\t- **Langsmith \u0026 Langserve:** Tools to monitor, serve, and scale applications using FastAPI.*\n\n### RAG Pipeline Overview\n![RAG Pipeline](image/rag-pipeline.webp)  \n*This image illustrates the Retrieval-Augmented Generation (RAG) pipeline. It outlines how external data is retrieved and combined with language model outputs to improve response quality. The pipeline typically involves:  \n\t- **Data Retrieval:** Searching external databases for relevant context.  \n\t- **Integration:** Merging retrieved data with generated content.  \n\t- **Generation:** Producing enriched outputs that leverage both internal and external information.*\n\n### Hybrid Search Overview\n![Hybrid Search](image/hybridsearch.png)  \n*This image demonstrates the hybrid search mechanism, which combines dense (vector-based) and sparse (keyword-based) retrieval techniques. It employs Reciprocal Rank Fusion (RRF) to integrate results from multiple search methods, assigning higher scores to consistently high-ranking items for improved overall search accuracy.*\n\n## About This Repository\n\nThis repository holds a variety of projects related to Langchain, including:\n\n- **Chains, Retrievers, Tools \u0026 Agents:** Build and integrate dynamic components.\n- **Retrieval-Augmented Generation (RAG):** Enhance outputs using external data sources.\n- **Vector Databases:** Utilize FAISS, Pinecone, Chroma, and similar tools for efficient storage and retrieval.\n- **Langsmith \u0026 Langserve:** Develop and serve applications with integrated monitoring and FastAPI support.\n- **Large Language Models:** Experiment with OpenAI, Ollama models, and more.\n- **Word Embeddings:** Implement diverse embedding techniques from Hugging Face, OpenAI, Ollama, etc.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdanitilahun%2Flangchain_projects","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdanitilahun%2Flangchain_projects","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdanitilahun%2Flangchain_projects/lists"}