add information retrieval challenge to the wiki (#3876)

docs/challenges/information_retrieval/challenge_a.md

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+# Information Retrieval Challenge A
+
+**Status**: Current level to beat: level 1
+
+**Command to try**:
+
+```
+pytest -s tests/integration/challenges/information_retrieval/test_information_retrieval_challenge_a.py
+```
+
+## Description
+
+The agent's goal is to find the revenue of Tesla in 2022.
+
+It should write the result in a file called output.txt.
+
+The agent should be able to beat this test consistently (this is the hardest part).
+## Objective
+
+The objective of this challenge is to test the agent's ability to retrieve information in a consistent way.

docs/challenges/information_retrieval/introduction.md

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+# Information Retrieval
+
+Information retrieval challenges are designed to evaluate the proficiency of an AI agent, such as Auto-GPT, in searching, extracting, and presenting relevant information from a vast array of sources. These challenges often encompass tasks such as interpreting user queries, browsing the web, and filtering through unstructured data.