I want to use vector search without setting up an external server. There are surprisingly many requirements like that. When you don't want to bring in Docker at the PoC stage, want to embed search ...

"I want to run it locally, but the UI is too poor." This is the first wall people hit when they start using Ollama. While Ollama is excellent as a model execution environment, the standard interface ...

In this blog, we will build live image search and query it with natural language. For example, you can search for "an elephant", or a "cute animal" with a list of images as input. We are going to use ...

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An integration of Qdrant vector database with Haystack by deepset. The library finally allows using Qdrant as a document store, and provides an in-place replacement for any other vector embeddings ...

With the rise of Large Language Models and their impressive capabilities, many fancy applications are being built on top of giant LLM providers like OpenAI and Anthropic. The myth behind such ...

txtai simplifies building AI-powered semantic search applications using Transformers. It leverages the neural embeddings and their properties to encode high-dimensional data in a lower-dimensional ...