{"id":21672447,"url":"https://github.com/redis-developer/financial-vss","last_synced_at":"2025-04-12T03:53:00.269Z","repository":{"id":203180338,"uuid":"708950929","full_name":"redis-developer/financial-vss","owner":"redis-developer","description":"Notebooks demonstrating vector search \u0026 RAG design patterns with Redis Python clients.","archived":false,"fork":false,"pushed_at":"2024-03-27T02:24:33.000Z","size":7701,"stargazers_count":10,"open_issues_count":1,"forks_count":3,"subscribers_count":11,"default_branch":"main","last_synced_at":"2025-04-12T03:52:53.468Z","etag":null,"topics":["langchain","llm","python","rag","redis","redisvl","vector-search"],"latest_commit_sha":null,"homepage":"","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}},"created_at":"2023-10-23T17:59:17.000Z","updated_at":"2024-11-14T10:38:04.000Z","dependencies_parsed_at":null,"dependency_job_id":"153da283-cdb1-4d09-9a49-7c9855aeea2c","html_url":"https://github.com/redis-developer/financial-vss","commit_stats":null,"previous_names":["redislabs-solution-architects/financial-vss","redis-developer/financial-vss"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/redis-developer%2Ffinancial-vss","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/redis-developer%2Ffinancial-vss/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/redis-developer%2Ffinancial-vss/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/redis-developer%2Ffinancial-vss/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/redis-developer","download_url":"https://codeload.github.com/redis-developer/financial-vss/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248514209,"owners_count":21116899,"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":["langchain","llm","python","rag","redis","redisvl","vector-search"],"created_at":"2024-11-25T13:29:17.770Z","updated_at":"2025-04-12T03:53:00.249Z","avatar_url":"https://github.com/redis-developer.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cdiv align=\"center\"\u003e\n    \u003cdiv style=\"display: inline-block; text-align: center; margin-bottom: 10px;\"\u003e\n        \u003cspan style=\"font-size: 36px;\"\u003e\u003cb\u003eRedis Vector Search: Financial Examples\u003c/b\u003e\u003c/span\u003e\n        \u003cbr /\u003e\n    \u003c/div\u003e\n    \u003cbr /\u003e\n\u003c/div\u003e\n\n\n\u003cdiv align=\"center\"\u003e\n\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n![Language](https://img.shields.io/github/languages/top/redis-developer/financial-vss)\n![GitHub last commit](https://img.shields.io/github/last-commit/redis-developer/financial-vss)\n\n\u003c/div\u003e\n\n\n*A detailed set of Google Colab notebooks to teach semantic search and RAG patterns over public financial 10k documents with different Redis clients and integrations including: [redis-py](https://redis-py.readthedocs.io/en/stable/index.html), [redisvl](https://redisvl.com), and [langchain](https://python.langchain.com/docs/integrations/vectorstores/redis).*\n\n# ⚡ Introduction to Vector Search in Redis\n[Redis](https://redis.com), widely recognized for its low-latency performance, extends beyond traditional noSQL databases. It's uniquely suited for tasks like caching, session management, job queuing, and JSON storage. With enhanced Search+Query features, Redis emerges as a performant [Vector Database](https://redis.com/solutions/use-cases/vector-database) supporting Vector Search over unstructured data encoded as embeddings.\n\n## 📚 Getting Started in Google Colab\n\nClick on one of the three notebook options below to start your journey. It launches a Colab notebook that prepares your environment by cloning the necessary repository artifacts, managing Python dependencies, and ends with an end-to-end walkthrough of vector search in Redis.\n\nSelect your desired notebook tutorial from below:\n\n| # | Notebook | Description | Documentation |\n|---|----------|-------------|---------------|\n| 1 | [**redis-py-01**](https://colab.research.google.com/github/redis-developer/financial-vss/blob/main/redis-py-01.ipynb) | Grasp VSS basics with the standard Redis Python client. | [View Docs](https://redis-py.readthedocs.io/en/stable/examples/search_vector_similarity_examples.html) |\n| 2 | [**redisvl-02**](https://colab.research.google.com/github/redis-developer/financial-vss/blob/main/redisvl-02.ipynb) | Dive deeper into RAG patterns from scratch using an AI-native Redis client library. | [View Docs](https://redisvl.com) |\n| 3 | [**langchain-03**](https://colab.research.google.com/github/redis-developer/financial-vss/blob/main/langchain-03.ipynb) | Wrap up with an integrated approach via LangChain. | [View Docs](https://python.langchain.com/docs/integrations/providers/redis) |\n\n\n## 🛠️ Understanding the Client Ecosystem\nWondering why there are multiple clients? Each serves a unique purpose, providing varying abstraction levels. Your choice depends on several factors:\n\n- **Use Cases**: Are you focusing on pure vector search, RAG, or other tasks like LLM semantic caching?\n- **Redis Experience**: How comfortable is your team with Redis clients and commands?\n- **Integration Points**: What are your touchpoints with LLMs and Embedding Providers?\n- **Performance Demands**: How intensive are your performance requirements?\n- **Configurability**: Do you prefer ease of use or fine-grained control?\n\nEach notebook explores these considerations, guiding you through making an informed choice for your use case.\n\n## ⚠️ Cautionary Advice\n- **Not for Local Use**: This Colab-centric project isn't configured for local environments. Running it outside Colab requires a different setup.\n- **Temporary Workspace**: Colab doesn't save your work indefinitely. Download your notebooks or save them to Google Drive to avoid losing progress.\n- **Idle Disconnections**: Extended inactivity in Colab can disconnect the runtime, potentially resulting in work loss. Regular saving is your friend!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fredis-developer%2Ffinancial-vss","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fredis-developer%2Ffinancial-vss","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fredis-developer%2Ffinancial-vss/lists"}