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docs/vectorstore-agent.md

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+The `VectoStoreAgent`is an agent designed to retrieve information from one or more vectorstores, either with or without sources.
+
+<br>
+
+![Description](img/single_node/vec_sto_agt.png#only-light){width=50%}
+![Description](img/single_node/vec_sto_agt2.png#only-dark){width=50%}
+
+<br>
+
+Check out the [VectoStoreAgent](https://python.langchain.com/en/latest/modules/agents/toolkits/examples/vectorstore.html){.internal-link target=\_blank} in the LangChain documentation.
+
+---
+
+### ⛓️LangFlow example
+
+![Description](img/vectorstore-agent2.png#only-dark){width=100%}
+![Description](img/vectorstore-agent.png#only-light){width=100%}
+
+<br>
+
+[Download Flow](data/Vectorstore_agent.json){: .md-button download="Vectorstore_agent"}
+
+<br>
+
+By using `WebBaseLoader`, you can load all text from webpages into a document format that we can use downstream. Web path used:
+
+```txt
+https://beta.ruff.rs/docs/faq/
+```
+
+<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>
+
+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 vectorstores to conduct a semantic search or to select examples, thanks to a wrapper around them.
+
+<br>
+
+A `VectorStoreInfo` set information about the vectorstore, such as the name and description.
+
+Name used:
+
+```txt
+ruff
+```
+
+Description used:
+
+```txt
+Information about the Ruff python linting library
+```
+
+<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.