Implement natural language querying and modification for database - #1585
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roshanpanda666 wants to merge 1 commit into
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Implement natural language querying and modification for database#1585roshanpanda666 wants to merge 1 commit into
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…d make changes in it
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what a fascinating idea wish mongodb had something like that inbuilt |
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Title: Community Contribution: Agentic Natural Language Database Query (MongoDB)
Description:
What does this PR do?
This PR introduces a new community contribution: TalkToDB, an interactive notebook that demonstrates how to transition from a naive code-generation script to a fully autonomous, secure Agentic workflow for querying databases in natural language.
Key Features & Learnings:
MongoDB Integration: Demonstrates how to securely connect an agent to a MongoDB cluster.
Security First: Highlights the severe security risks of using exec() on LLM-generated code and provides a safer alternative.
Agentic Tool Calling: Implements a strict, tool-based architecture utilizing the Principle of Least Privilege. The agent is given specific Python functions for CRUD operations.
The ReAct Loop: Showcases the agent's ability to reason through multi-step problems (e.g., retrieving an array of ObjectIDs and autonomously deciding to make a secondary tool call to convert those IDs into human-readable names).
Files Added:
2_openai/community_contributions/ai_based_database_query/talktodb.ipynb
How to test:
Provide a TOURDB_URI and GROQ_API_KEY in the .env file.
Run through the notebook cells.
Observe the agent dynamically translating natural language (e.g., "what are the names of sunil's followers?") into multi-step tool calls.