📅 2024-02-15 — Session: Explored Redis for AI Vector Similarity Searches
🕒 00:00–00:10
🏷️ Labels: Redis, AI, Vector Similarity, Docker, Jupyter, Streamlit
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal: The session aimed to explore the use of Redis for vector similarity searches within AI applications, focusing on setup and integration with Docker, Jupyter, and Streamlit.
Key Activities:
- Reviewed a tutorial on using Redis for vector similarity searches.
- Discussed the setup process involving Docker, Jupyter, and Streamlit.
- Explored applications in AI agents for context-aware interactions.
Achievements:
- Gained insights into the practical setup of Redis for vector similarity searches.
- Clarified the integration process with Docker, Jupyter, and Streamlit.
Pending Tasks:
- Further exploration of Redis applications in real-world AI scenarios.
- Implementation of a prototype using the discussed setup.