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www.codecentric.de
| | bdtechtalks.com
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| | Retrieval augmented generation (RAG) enables you to use custom documents with LLMs to improve their precision.
| | www.onehouse.ai
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| | Onehouse can host your vector embeddings, at low cost and with great performance. You can then move only needed vectors to a vector database for vector search use cases.
| | www.antstack.com
1.8 parsecs away

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| | In this blog, we will explore how to build a Serverless QA Chatbot on a website using OpenAI's Embeddings and GPT-3.5 model. Read Article!
| | gist.github.com
11.4 parsecs away

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| GitHub Gist: instantly share code, notes, and snippets.