add everyting for docs

docs/snippets/modules/chains/how_to/debugging.mdx

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+Setting `verbose` to `True` will print out some internal states of the `Chain` object while it is being ran.
+
+```python
+conversation = ConversationChain(
+    llm=chat,
+    memory=ConversationBufferMemory(),
+    verbose=True
+)
+conversation.run("What is ChatGPT?")
+```
+
+<CodeOutputBlock lang="python">
+
+```
+    > Entering new ConversationChain chain...
+    Prompt after formatting:
+    The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.
+
+    Current conversation:
+
+    Human: What is ChatGPT?
+    AI:
+
+    > Finished chain.
+
+    'ChatGPT is an AI language model developed by OpenAI. It is based on the GPT-3 architecture and is capable of generating human-like responses to text prompts. ChatGPT has been trained on a massive amount of text data and can understand and respond to a wide range of topics. It is often used for chatbots, virtual assistants, and other conversational AI applications.'
+```
+
+</CodeOutputBlock>
+

docs/snippets/modules/chains/how_to/memory.mdx

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+```python
+from langchain.chains import ConversationChain
+from langchain.memory import ConversationBufferMemory
+
+conversation = ConversationChain(
+    llm=chat,
+    memory=ConversationBufferMemory()
+)
+
+conversation.run("Answer briefly. What are the first 3 colors of a rainbow?")
+# -> The first three colors of a rainbow are red, orange, and yellow.
+conversation.run("And the next 4?")
+# -> The next four colors of a rainbow are green, blue, indigo, and violet.
+```
+
+<CodeOutputBlock lang="python">
+
+```
+    'The next four colors of a rainbow are green, blue, indigo, and violet.'
+```
+
+</CodeOutputBlock>
+
+Essentially, `BaseMemory` defines an interface of how `langchain` stores memory. It allows reading of stored data through `load_memory_variables` method and storing new data through `save_context` method. You can learn more about it in the [Memory](/docs/modules/memory/) section.
+