Skip to content

Commit 6a62df1

Browse files
committed
remove redis ventures
1 parent 9e52df6 commit 6a62df1

File tree

4 files changed

+6
-6
lines changed

4 files changed

+6
-6
lines changed

LICENSE

+1-1
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
11
MIT License
22

3-
Copyright (c) 2023 Redis Ventures
3+
Copyright (c) 2025 Redis
44

55
Permission is hereby granted, free of charge, to any person obtaining a copy
66
of this software and associated documentation files (the "Software"), to deal

README.md

+3-3
Original file line numberDiff line numberDiff line change
@@ -20,10 +20,10 @@
2020
- Vector search for context retrieval from knowledge base
2121

2222

23-
## RAG demo
24-
<a href="https://colab.research.google.com/github/RedisVentures/redis-google-llms/blob/main/Gemini_Redis.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
23+
## RAG + Semantic Caching demo
24+
<a href="https://github.com/redis-developer/redis-ai-resources/blob/main/python-recipes/semantic-cache/00_semantic_caching_gemini.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
2525

26-
**Open the code tutorial using the Colab notebook to get your hands dirty with Redis and Vertex AI on GCP.** It's a step-by-step walkthrough of setting up the required data, and generating embeddings, and building RAG from scratch in order to build fast LLM apps; highlighting Redis vector search and semantic caching.
26+
**Open the code tutorial using the Colab notebook to get your hands dirty with Redis and Vertex AI on GCP.**
2727

2828

2929
## Additional resources

examples/chat-your-pdf/README.md

+1-1
Original file line numberDiff line numberDiff line change
@@ -7,7 +7,7 @@ This example Streamlit app demonstrates how to build a simple chatbot powered by
77
- ☁️ [GCP Vertex AI Palm 2](https://cloud.google.com/vertex-ai/docs/generative-ai/start/quickstarts/api-quickstart) models for embedding creation and chat completion
88
- 💥 [Redis](https://redis.io) and [RedisVL client](https://redisvl.com) for Retrieval-Augmented Generation (RAG), LLM Semantic Caching, and chat history persistence
99

10-
![Chat Your PDF screenshot](https://github.com/RedisVentures/gcp-redis-llm-stack/assets/20304844/fdf24716-965a-4a66-88b2-761427ff61c0)
10+
![Chat Your PDF screenshot](https://github.com/redis-developer/gcp-redis-llm-stack/assets/20304844/fdf24716-965a-4a66-88b2-761427ff61c0)
1111

1212
## About
1313
Redis is well-versed to power chatbots thanks to its flexible data models, query engine, and high performance. This enables users to leverage redis for a variety of gen AI needs:

examples/chat-your-pdf/app/requirements.txt

+1-1
Original file line numberDiff line numberDiff line change
@@ -1,4 +1,4 @@
1-
git+https://github.com/RedisVentures/redisvl.git@main
1+
redisvl
22
langchain
33
openai>=1.13.0
44
python-dotenv==0.21.0

0 commit comments

Comments
 (0)