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Refine and improve the language clarity and quality across all example pages in the documentation to ensure better understanding and readability. --------- Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
3.4 KiB
3.4 KiB
AI Agents: Intelligent Collaboration🤖
Think of a platform where AI Agents can seamlessly exchange information, coordinate over tasks, and achieve shared targets with great efficiency💻📈.
Vector-Based Coordination: The Technical Advantage
Leveraging LanceDB's vector-based capabilities, we can enable AI agents 🤖 to communicate and collaborate through dense vector representations. AI agents can exchange information, coordinate on a task or work towards a common goal, just by giving queries📝.
| AI Agents | Description | Links |
|---|---|---|
| AI Agents: Reducing Hallucinationt📊 | 🤖💡 Reduce AI hallucinations using Critique-Based Contexting! Learn by Simplifying and Automating tedious workflows by going through fitness trainer agent example.💪 |     |
| AI Trends Searcher: CrewAI🔍️ | 🔍️ Learn about CrewAI Agents ! Utilize the features of CrewAI - Role-based Agents, Task Management, and Inter-agent Delegation ! Make AI agents work together to do tricky stuff 😺 | |
| SuperAgent Autogen🤖 | 💻 AI interactions with the Super Agent! Integrating Autogen, LanceDB, LangChain, LiteLLM, and Ollama to create AI agent that excels in understanding and processing complex queries.🤖 | |