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+There are three different types of chatbots that you can build in Open Chat Studio:
+
+- Base language model
+- Assistant
+- Pipeline
+
+# Base language model
+
+This kind of bot is the most commonly used and simple to configure. It is backed the standard language model APIs such as OpenAI’s [chat completions API][1], Anthropic’s [messages API][2] or Google’s [Gemeni API][3].
+
+Bots configured in this way have all the basic features (memory, source material etc.) and can also use some of the advanced features like Scheduling and Reminders.
+
+
+# Assistant
+Assistant bots make use of OpenAI’s [Assistants][4]. The main advantage of using Assistants is that your bot get’s access to the OpenAI tools:
+
+### [Code Interpreter][5]
+This allows the bot to write and execute code to accomplish tasks.
+
+### [File Search][6]
+This allows the bot to search and reference information provided in uploaded files. Unless your bot needs either of these capabilities, you should use a Base Language Model type bot.
+
+
+# Pipeline
+This is a beta feature that has not yet been fully released. Pipelines allow you to create more complex bots by defining a ‘graph’ of nodes. Each message to the bot is processed by the graph to produce a final output.
+
+This can be useful if you want to build a complex bot that performs different tasks depending on the user’s request. Generally, trying to make a single bot prompt do multiple functions doesn’t work well so it is better to create multiple prompts for each task and then combine them using a Pipeline. This is similar to the Multi-bot setup but allows more flexibility and complexity.
+
+
+[1]: https://platform.openai.com/docs/guides/text-generation
+[2]: https://docs.anthropic.com/en/api/messages
+[3]: https://ai.google.dev/
+[4]: https://platform.openai.com/docs/assistants/overview
+[5]: https://platform.openai.com/docs/assistants/tools/code-interpreter
+[6]: https://platform.openai.com/docs/assistants/tools/file-search
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