[Mem0] Fix issues and update docs (#1477)

docs/introduction.mdx

@@ -1,191 +0,0 @@
----
-title: Introduction
-description: 'Welcome to the Mem0 documentation'
----
-
-Mem0 is the long-term memory for AI Agents.
-
-## Installation
-
-```bash
-pip install mem0ai
-```
-
-## Usage
-
-### Instantiate
-
-```python
-from mem0 import Memory
-m = Memory()
-```
-
-Mem0 uses Qdrant by default for storing the semantic memories. If you want to use Qdrant in server mode, use the following method to instantiate.
-
-Run qdrant first:
-
-```bash
-docker pull qdrant/qdrant
-
-docker run -p 6333:6333 -p 6334:6334 \
-    -v $(pwd)/qdrant_storage:/qdrant/storage:z \
-    qdrant/qdrant
-```
-
-Then, instantiate memory with qdrant server:
-
-```python
-from mem0 import Memory
-
-config = {
-    "vector_store": {
-        "provider": "qdrant",
-        "config": {
-            "host": "localhost",
-            "port": 6333,
-        }
-    },
-}
-
-m = Memory.from_config(config)
-```
-
-### Store a Memory
-
-```python
-m.add("Likes to play cricket over weekend", user_id="deshraj", metadata={"foo": "bar"})
-# Output:
-# [
-#   {
-#     'id': 'm1',
-#     'event': 'add',
-#     'data': 'Likes to play cricket over weekend'
-#   }
-# ]
-
-# Similarly, you can store a memory for an agent
-m.add("Agent X is best travel agent in Paris", agent_id="agent-x", metadata={"type": "long-term"})
-```
-
-### Retrieve all memories
-
-#### 1. Get all memories
-```python
-m.get_all()
-# Output:
-# [
-#   {
-#     'id': 'm1',
-#     'text': 'Likes to play cricket over weekend',
-#     'metadata': {
-#       'data': 'Likes to play cricket over weekend'
-#     }
-#   },
-#   {
-#     'id': 'm2',
-#     'text': 'Agent X is best travel agent in Paris',
-#     'metadata': {
-#       'data': 'Agent X is best travel agent in Paris'
-#     }
-#   }
-# ]
-
-```
-#### 2. Get memories for specific user
-
-```python
-m.get_all(user_id="deshraj")
-```
-
-#### 3. Get memories for specific agent
-
-```python
-m.get_all(agent_id="agent-x")
-```
-
-#### 4. Get memories for a user during an agent run
-
-```python
-m.get_all(agent_id="agent-x", user_id="deshraj")
-```
-
-### Retrieve a Memory
-
-```python
-memory_id = "m1"
-m.get(memory_id)
-# Output:
-# {
-#   'id': '1',
-#   'text': 'Likes to play cricket over weekend',
-#   'metadata': {
-#     'data': 'Likes to play cricket over weekend'
-#   }
-# }
-```
-
-### Search for related memories
-
-```python
-m.search(query="What is my name", user_id="deshraj")
-```
-
-### Update a Memory
-
-```python
-m.update(memory_id="m1", data="Likes to play tennis")
-```
-
-### Get history of a Memory
-
-```python
-m.history(memory_id="m1")
-# Output:
-# [
-#   {
-#     'id': 'h1',
-#     'memory_id': 'm1',
-#     'prev_value': None,
-#     'new_value': 'Likes to play cricket over weekend',
-#     'event': 'add',
-#     'timestamp': '2024-06-12 21:00:54.466687',
-#     'is_deleted': 0
-#   },
-#   {
-#     'id': 'h2',
-#     'memory_id': 'm1',
-#     'prev_value': 'Likes to play cricket over weekend',
-#     'new_value': 'Likes to play tennis',
-#     'event': 'update',
-#     'timestamp': '2024-06-12 21:01:17.230943',
-#     'is_deleted': 0
-#   }
-# ]
-```
-
-### Delete a Memory
-
-```python
-m.delete(memory_id="m1")
-```
-
-### Delete memories of a user or agent
-
-```python
-m.delete_all(user_id="deshraj")
-m.delete_all(agent_id="agent-x")
-```
-
-### Delete all Memories
-
-```python
-m.reset()
-```
-
-## Contributing
-
-Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Please make sure to update tests as appropriate.
-
-## License
-
-[Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0)