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README.md
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- π Join us on Discord: https://discord.gg/zkqDWk5S7P
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- βοΈ Work is managed in this project: https://github.com/users/momegas/projects/5/views/2
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The Megabots library can be used to create bots that
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- βοΈ are production ready, in minutes
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- ποΈ can answer questions over documents
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π€ Megabots is backed by some of the most famous tools for productionalising AI. It uses [LangChain](https://docs.langchain.com/docs/) for managing LLM chains, [FastAPI](https://fastapi.tiangolo.com/) to create a production ready API, [Gradio](https://gradio.app/) to create a UI. At the moment it uses [OpenAI](https://openai.com/) to generate answers, but we plan to support other LLMs in the future.
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- π Join us on Discord: https://discord.gg/zkqDWk5S7P
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- βοΈ Work is managed in this project: https://github.com/users/momegas/projects/5/views/2
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**The Megabots library can be used to create bots that:**
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- βοΈ are production ready, in minutes
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- ποΈ can answer questions over documents
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- πΎ can connect to vector databases
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- ποΈ automatically expose the bot as a rebust API using FastAPI (early release)
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- π automatically expose the bot as a UI using Gradio
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**Coming soon:**
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- π£οΈ accept voice as an input using [whisper](https://github.com/openai/whisper)
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- π validate and correct the outputs of LLMs using [guardrails](https://github.com/ShreyaR/guardrails)
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- π° semanticly cache LLM Queries and reduce Costs by 10x using [GPTCache](https://github.com/zilliztech/GPTCache)
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- ποΈ mega-easy LLM training
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- π mega-easy deployment
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π€ Megabots is backed by some of the most famous tools for productionalising AI. It uses [LangChain](https://docs.langchain.com/docs/) for managing LLM chains, [FastAPI](https://fastapi.tiangolo.com/) to create a production ready API, [Gradio](https://gradio.app/) to create a UI. At the moment it uses [OpenAI](https://openai.com/) to generate answers, but we plan to support other LLMs in the future.
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