{"id":15175496,"url":"https://github.com/redis-developer/agentic-rag","last_synced_at":"2026-03-07T15:35:02.601Z","repository":{"id":235538241,"uuid":"790845053","full_name":"redis-developer/agentic-rag","owner":"redis-developer","description":"Complete example of how to build an Agentic RAG architecture with Redis, Amazon Bedrock, and LlamaIndex.","archived":false,"fork":false,"pushed_at":"2024-12-05T14:50:06.000Z","size":2378,"stargazers_count":92,"open_issues_count":0,"forks_count":6,"subscribers_count":5,"default_branch":"main","last_synced_at":"2025-05-19T23:06:34.168Z","etag":null,"topics":["agents","ai21labs","amazon-bedrock","amazon-titan","genai-chatbot","llama-index","rag","redis","testcontainers","vector-search"],"latest_commit_sha":null,"homepage":"https://redis.io/solutions/vector-database","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/redis-developer.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":"2024-04-23T16:25:54.000Z","updated_at":"2025-05-09T03:20:23.000Z","dependencies_parsed_at":null,"dependency_job_id":"c3deddbc-4202-48f4-a116-8f64f2fe0733","html_url":"https://github.com/redis-developer/agentic-rag","commit_stats":{"total_commits":2,"total_committers":1,"mean_commits":2.0,"dds":0.0,"last_synced_commit":"b1fa349de839a5ee07401b79c5988e788e76b05f"},"previous_names":["redis-developer/agentic-rag"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/redis-developer/agentic-rag","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/redis-developer%2Fagentic-rag","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/redis-developer%2Fagentic-rag/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/redis-developer%2Fagentic-rag/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/redis-developer%2Fagentic-rag/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/redis-developer","download_url":"https://codeload.github.com/redis-developer/agentic-rag/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/redis-developer%2Fagentic-rag/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30219551,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-07T14:02:48.375Z","status":"ssl_error","status_checked_at":"2026-03-07T14:02:43.192Z","response_time":53,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["agents","ai21labs","amazon-bedrock","amazon-titan","genai-chatbot","llama-index","rag","redis","testcontainers","vector-search"],"created_at":"2024-09-27T12:39:18.796Z","updated_at":"2026-03-07T15:35:02.580Z","avatar_url":"https://github.com/redis-developer.png","language":"Jupyter Notebook","readme":"\u003ch1 align=\"center\"\u003e🦾 Agentic RAG with Redis, AWS Bedrock, and LlamaIndex\u003c/h1\u003e\n\n## Overview\nThis demo demonstrates the integration of [Redis](https://redis.io), [Amazon Bedrock](https://aws.amazon.com/bedrock/), and [LlamaIndex](https://docs.llamaindex.ai/en/stable/) for creating a **customer support chatbot** specifically tailored for Chevy vehicles. The system is powered by an \"agentic RAG\" architecture.\n\n## Key Components\n\u003cp align=\"left\"\u003e\n  \u003cimg src=\"images/redis.png\" alt=\"Redis Logo\" width=\"145px\"/\u003e\n  \u003cimg src=\"images/bedrock.png\" alt=\"Bedrock Logo\" width=50px/\u003e\n  \u003cimg src=\"images/llamaindex.png\" alt=\"LlamaIndex Logo\" width=\"45px\"/\u003e\n\u003c/p\u003e\n\n- **[Redis](https://redis.io)**: A versatile db within the architecture, Redis functions as the document store, ingestion cache, vector store, chat history store, and semantic cache.\n- **[Amazon Bedrock](https://aws.amazon.com/bedrock/)**: Provides foundation models and embeddings models through the Bedrock API.\n- **[LlamaIndex](https://docs.llamaindex.ai/en/stable/)**: Acts as the central framework that ties together the entire system, enabling seamless integration with various services and tools to enhance functionality.\n\n## Getting Started\n\nLaunch this notebook in a Google Colab environment for a hands-on experience:\n\n\u003cp align=\"left\"\u003e\n  \u003ca href=\"https://colab.research.google.com/github/redis-developer/agentic-rag/blob/main/Agentic_RAG_Redis_LlamaIndex.ipynb\" target=\"_blank\"\u003e\u003cbutton style=\"padding: 10px 20px; font-size: 16px; color: white; background-color: #007BFF; border: none; border-radius: 5px; cursor: pointer;\"\u003eOpen in Colab\u003c/button\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n## Architecture Diagram\n This architecture highlights document ingestion and inference with the AI agent.\n\n\u003cp align=\"left\"\u003e\n  \u003cimg src=\"images/llamaindex_agentic_rag_architecture.png\" alt=\"Architecture Diagram\" width=\"500px\"/\u003e\n\u003c/p\u003e\n\n\n## Additional Resources\nFor further reading and resources related to the technologies and approaches used in this project, consider the following links:\n- [Redis Documentation](https://redis.io/docs/)\n- [LlamaIndex Documentation](https://docs.llamaindex.ai/en/stable/)\n- [LlamaIndex \u003c\u003e Redis Integration](https://docs.llamaindex.ai/en/latest/examples/vector_stores/RedisIndexDemo/)\n- [Amazon Bedrock Console](https://aws.amazon.com/bedrock/)\n","funding_links":[],"categories":["Tutorials"],"sub_categories":["Feature Store"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fredis-developer%2Fagentic-rag","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fredis-developer%2Fagentic-rag","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fredis-developer%2Fagentic-rag/lists"}