Fix typos (#4662)

### What problem does this PR solve?

Fix typos in the documents

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

---------

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com>

docs/references/agent_component_reference/begin.mdx

@@ -52,7 +52,7 @@ As mentioned earlier, the **Begin** component is indispensable for an agent. Sti
 
 1. Click the **Agent** tab at the top center of the page to access the **Agent** page.
 2. Click **+ Create agent** on the top right of the page to open the **agent template** page.
-3. On the **agent template** page, hover over the **Interperter** card and click **Use this template**.
+3. On the **agent template** page, hover over the **Interpreter** card and click **Use this template**.
 4. Name your new agent and click **OK** to enter the workflow editor.
 5. Click on the **Begin** component to display its **Configuration** window.
 

docs/references/agent_component_reference/iteration.mdx

@@ -26,7 +26,7 @@ An **Iteration** component is essential when a workflow loop is required and the
 Each **Iteration** component includes an internal **IterationItem** component. The **IterationItem** component serves as both the starting point and input node of the workflow within the **Iteration** component. It manages the loop of the workflow for all text segments created from the input.
 
 :::tip NOTE
-The **IterationItem** component is visible *only* to the comonents encapsulated by the current **Iteration** components.
+The **IterationItem** component is visible *only* to the components encapsulated by the current **Iteration** components.
 :::
 
 ![Iterationitem](https://github.com/user-attachments/assets/97117ceb-76c4-432e-aa86-48f253bcb886)

docs/references/faq.md

@@ -380,7 +380,7 @@ The status of a Docker container status does not necessarily reflect the status
 
 ### How to increase the length of RAGFlow responses?
 
-1. Right click the desired dialog to display the **Chat Configuration** window.
+1. Right-click the desired dialog to display the **Chat Configuration** window.
 2. Switch to the **Model Setting** tab and adjust the **Max Tokens** slider to get the desired length.
 3. Click **OK** to confirm your change.
 
@@ -414,8 +414,8 @@ See [here](../guides/deploy_local_llm.mdx) for more information.
 This error occurs because there are too many chunks matching your search criteria. Try reducing the **TopN** and increasing **Similarity threshold** to fix this issue:
 
 1. Click **Chat** in the middle top of the page.
-2. Right click the desired conversation > **Edit** > **Prompt Engine**
-3. Reduce the **TopN** and/or raise **Silimarity threshold**.
+2. Right-click the desired conversation > **Edit** > **Prompt Engine**
+3. Reduce the **TopN** and/or raise **Similarity threshold**.
 4. Click **OK** to confirm your changes.
 
 ![topn](https://github.com/infiniflow/ragflow/assets/93570324/7ec72ab3-0dd2-4cff-af44-e2663b67b2fc)

docs/references/http_api_reference.md

@@ -1256,7 +1256,7 @@ curl --request POST \
 - `"vector_similarity_weight"`: (*Body parameter*), `float`  
   The weight of vector cosine similarity. Defaults to `0.3`. If x represents the weight of vector cosine similarity, then (1 - x) is the term similarity weight.
 - `"top_k"`: (*Body parameter*), `integer`  
-  The number of chunks engaged in vector cosine computaton. Defaults to `1024`.
+  The number of chunks engaged in vector cosine computation. Defaults to `1024`.
 - `"rerank_id"`: (*Body parameter*), `integer`  
   The ID of the rerank model.
 - `"keyword"`: (*Body parameter*), `boolean`  

docs/references/python_api_reference.md

@@ -688,8 +688,8 @@ A `Chunk` object contains the following attributes:
 from ragflow_sdk import RAGFlow
 
 rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
-dataset = rag_object.list_datasets(id="123")
-dtaset = dataset[0]
+datasets = rag_object.list_datasets(id="123")
+dataset = datasets[0]
 doc = dataset.list_documents(id="wdfxb5t547d")
 doc = doc[0]
 chunk = doc.add_chunk(content="xxxxxxx")
@@ -859,7 +859,7 @@ The weight of vector cosine similarity. Defaults to `0.3`. If x represents the v
 
 ##### top_k: `int`
 
-The number of chunks engaged in vector cosine computaton. Defaults to `1024`.
+The number of chunks engaged in vector cosine computation. Defaults to `1024`.
 
 ##### rerank_id: `str`
 
@@ -1325,7 +1325,7 @@ In streaming mode, not all responses include a reference, as this depends on the
 
 ##### question: `str`, *Required*
 
-The question to start an AI-powered conversation. Defalut to `""`
+The question to start an AI-powered conversation. Default to `""`
 
 ##### stream: `bool`