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Agents that integrate retrieval tools for information gathering.
Distinguishing note: Focuses on the combination of RAG and agentic reasoning.
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This framework provides a development toolkit for building autonomous agents that utilize language models to solve complex, non-deterministic tasks. Its core design centers on a code-executing architecture where agents generate and run Python code snippets to perform logic, data manipulation, and tool interactions. By moving beyond structured data formats, the system enables agents to manage program flow and object state through iterative reasoning cycles. The project distinguishes itself through its focus on code-based agent implementation and secure execution environments. Developers can ch
Combines retrieval tools with a language model to automate multi-step reasoning and information gathering.