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A vector database for storing embeddings and retrieving by similarity. It is the retrieval half of the AI work in Artificial Intelligence.
I have used Chroma DB for machine-learning workflows and efficient storage of vectorized AI data.
From the blog
Articles from JWS News and DEV that relate to Chroma DB.
In June, I wrote about creating a private fediverse instance. For JWS Social, I am running GoToSocial hosted on K&T Host. GoToSocial supports decentralized social networking by adhering to ActivityPub, a protocol that enables interoperability across platforms like Mastodon, Flip…
Earlier this week, we used two non-public APIs to pull in the flavor of the day data for Culver’s and Kopp’s. Back in May, we looked at How to get AI to tell you the flavor of the day at Kopp’s and I figured that the next natural step would be to do the same…
Previously, we looked at how to build a retrieval-augmented generation system using LangChain. As of last month, you can do the same thing with just the Ollama Python Library that we used in last month’s How to Write a Python App that uses Ollama. In today’s post, I want to use…
Back in January, we started looking at AI and how to run a large language model (LLM) locally (instead of just using something like ChatGPT or Gemini). A tool like Ollama is great for building a system that uses AI without dependence on OpenAI. Today, we will look at creating a…
From GoToSocial
Short posts about Chroma DB, matched by topic hashtags.
