Trying the Agents 🕵️ --> new feature introduced in Haystack 1.15.0 to make Large Language Models resolve complex queries and tasks.
As of release 1.15, Haystack implements Agents 🕵️!
Put simply, an Agent is a Large Language Model with a specific prompt.
Based on that prompt, the Agent can answer complex questions, by performing a sequence of steps.
At each step, the Agent (our brain 🧠) can select a Tool from its toolbox 🧰 and use it to accomplish a task.
Some examples of Tools: Web Search, calculator, several pipelines/nodes (available in Haystack)...
In the video, you see the Agent in action with the task of answering questions about books on my reading list.
- I uploaded a CSV containing a minimal reading list 📚
- I initialized two Tools ⚒️:
- A Question Answering component to answer questions about my reading list
- A Search tool 🔎🌐, which can browse the web and find information
- I defined an Agent, based on Davinci model and equipped with the Tools defined above.
- Now I can ask complex questions, such as "Can you provide me with information on the shortest book on my reading list, including author and price on Amazon?""
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Currently, Agents work great with OpenAI Davinci model. Soon, open-source models will also be supported, so you can have the power of LLM at your disposal without giving up your data!