Fix document errors (#1464)

### What problem does this PR solve?

Fix document errors 

### Type of change

- [x] Documentation Update

docs/references/CONTRIBUTING.md

@@ -5,7 +5,7 @@ slug: /contribution_guidelines
 
 # Contribution Guidelines
 
-Thanks for wanting to contribute to Infinity. This document offers guidlines and major considerations for submitting your contributions. 
+Thanks for wanting to contribute to Infinity. This document offers guidelines and major considerations for submitting your contributions. 
 
 - To report a bug, file a [GitHub issue](https://github.com/infiniflow/infinity/issues/new/choose) with us.
 - For further questions, you can explore existing discussions or initiate a new one in [Discussions](https://github.com/orgs/infiniflow/discussions).

docs/references/benchmark.md

@@ -12,9 +12,9 @@ This document compares the following key specifications of Elasticsearch, Qdrant
 
 You need to watch resource (persisted index size, peak memory, peak cpu, system load etc.) manually.
 
-Keep the environment clean to ensure that the database under test is able to use up all resource of the system.
+Keep the environment clean to ensure that the database under test is able to use up all resources of the system.
 
-Avoid to run multiple databases at the same time, as each one is a significant resource consumer.
+Avoid running multiple databases at the same time, as each one is a significant resource consumer.
 
 Test environment:
 

docs/references/faq.md

@@ -17,7 +17,7 @@ RAG enables the retrieval of external data from a variety of sources, including
 
 Hybrid search combines text and semantic (vector) queries to find more accurate and relevant results. This technique combines multiple search algorithms, such as keyword search, natural language search, and semantic search, to enhance the accuracy of search results.
 
-A hybrid search combines various search strategies, whilst a fused search goes a step further by taking over the decision-making process previously managed by the upper-level application. It merges the obtained results and returns the results by itself.
+A hybrid search combines various search strategies, while a fused search goes a step further by taking over the decision-making process previously managed by the upper-level application. It merges the obtained results and returns the results by itself.
 
 
 ## What is an AI-native database? Is it just a paraphrase of vector database?

docs/references/pysdk_api_reference.md

@@ -37,7 +37,7 @@ Connect to the Infinity server and return an Infinity object.
 
 ## disconnect
 
-**infinity.disconnet()**
+**infinity.disconnect()**
 
 Disconnect the current Infinity object from the server.
 
@@ -177,7 +177,7 @@ Create a table with a given name, defining each column in it.
 
 - **table_name : str(not empty)**  Name of the table.
 - **columns_definition : dict[str, str]**
-A dict object whose key value pair indicates name of the column and its datatype. Especially, a vector column should be declared as `"vector, \<dimision>\, \<datatype>\"`
+A dict object whose key value pair indicates name of the column and its datatype. Especially, a vector column should be declared as `"vector, \<dimension>\, \<datatype>\"`
 - **conflict_type : ConflictType** enum type defined in the `infinity.common` package:
   - `Error`
   - `Ignore`