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docs/csv-loader.md

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+The `CSVLoader` loads a CSV file into a list of documents.
+
+<br>
+
+![Description](img/single_node/csv_loader.png#only-light){width=50%}
+![Description](img/single_node/csv_loader2.png#only-dark){width=50%}
+
+<br>
+
+Check out more about the `CSVLoader` in [LangChain](https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html?highlight=CSV%20loader){.internal-link target=\_blank} documentation.
+
+---
+
+### ⛓️LangFlow example
+
+![Description](img/csv-loader2.png#only-dark){width=100%}
+![Description](img/csv-loader.png#only-light){width=100%}
+
+<br>
+
+[Download Flow](data/Csv_loader.json){: .md-button download="Csv_loader"}
+
+<br>
+
+`File path:`
+
+<br>
+
+[Download CSV](data/organizations-100.csv){: .md-button download="organizations-100.csv"}
+
+<br>
+
+`CharacterTextSplitter` implements splitting text based on characters.
+
+Text splitters operate as follows:
+
+- Split the text into small, meaningful chunks (usually sentences).
+
+- Combine these small chunks into larger ones until they reach a certain size (measured by a function).
+
+- Once a chunk reaches the desired size, make it its piece of text and create a new chunk with some overlap to maintain context.
+
+**Separator used**:
+
+```txt
+.
+```
+
+**Chunk size used**:
+
+```txt
+2000
+```
+
+**Chunk overlap used**:
+
+```txt
+200
+```
+
+<br>
+For the example, we used `OpenAI` as the LLM, but you can use any LLM that has an API. Make sure to get the API key from the LLM provider. For example, [OpenAI](https://platform.openai.com/){.internal-link target=_blank} requires you to create an account to get your API key.
+
+<br>
+
+Check out the [OpenAI](https://platform.openai.com/docs/introduction/overview){.internal-link target=\_blank} documentation to learn more about the API and the options that contain in the node.
+
+<br>
+
+The `OpenAIEmbeddings`, wrapper around [OpenAI Embeddings](https://platform.openai.com/docs/guides/embeddings/what-are-embeddings){.internal-link target=\_blank} models. Make sure to get the API key from the LLM provider, in this case [OpenAI](https://platform.openai.com/){.internal-link target=\_blank}.
+
+<br>
+
+`Chroma` vector databases can be used as vector stores to conduct a semantic search or to select examples, thanks to a wrapper around them.
+
+<br>
+
+A `VectorStoreInfo` set information about the vector store, such as the name and description.
+
+<br>
+
+**Name used**:
+
+```txt
+organizations-100
+```
+
+**Description used**:
+
+```txt
+A table contains 100 companies.
+```
+
+The `VectoStoreAgent`is an agent designed to retrieve information from one or more vector stores, either with or without sources.