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networkphil.com
| | electric-sql.com
11.6 parsecs away

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| | Local AI with Postgres, pgvector and llama2, running inside a Tauri app with realtime sync powered by ElectricSQL ?? This is the architecture of the future!
| | www.onehouse.ai
12.1 parsecs away

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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.
| | bdtechtalks.com
13.2 parsecs away

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| | Retrieval augmented generation (RAG) enables you to use custom documents with LLMs to improve their precision.
| | amirmalik.net
30.6 parsecs away

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| An introduction to Retrieval-Augmented Generation (RAG) and how embeddings, chunking, and vector search work together in the context of LLM search.