Txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows. - Source: dev.to / 4 months ago

Ideal For: Projects requiring quick setup and robust search capabilities. GitHub Repository. - Source: dev.to / 5 months ago

Excellent project. As mentioned in another comment, I've put together an embeddings database using the arxiv dataset (https://huggingface.co/NeuML/txtai-arxiv) recently. For those interested in the literature search space, a couple other projects I've worked on that may be of interest. Annotateai (https://github.com/neuml/annotateai) - Semantic search and workflows for medical/scientific papers. Built on txtai... - Source: Hacker News / 5 months ago

If you're looking for a lightweight open-source framework designed to handle the patterns mentioned in this article: https://github.com/neuml/txtai Disclaimer: I'm the author of the framework. - Source: Hacker News / 5 months ago

I fully agree. Postgres has solved many of the problems that many are re-solving with GenAI related databases. With txtai (https://github.com/neuml/txtai), I've went all in with Postgres + pgvector. Projects can start small with a SQLite backend then switch the persistence to Postgres. With this, you get all the years of battle-tested production experience from Postgres... - Source: Hacker News / 6 months ago

Qdrant — open-source and super developer-friendly. - Source: dev.to / 12 days ago

The only thing left to do then was to build something that could showcase the power of code ingestion within a vector database, and it immediately clicked in my mind: "Why don't I ingest my entire codebase of solved Go exercises from Exercism?" That's how I created Code-RAGent, your friendly coding assistant based on your personal codebases and grounded in web search. It is built on top of GPT-4.1, powered by... - Source: dev.to / 22 days ago

Qdrant is an easy-to-set-up, highly performing and scalable vector database, that offers numerous functionalities (among which hybrid search and metadata filtering). - Source: dev.to / 26 days ago

In cases where a company possesses a strong technological foundation and faces a substantial workload demanding advanced vector search capabilities, its ideal solution lies in adopting a specialized vector database. Prominent options in this domain include Chroma (having raised $20 million), Zilliz (having raised $113 million), Pinecone (having raised $138 million), Qdrant (having raised $9.8 million), Weaviate... - Source: dev.to / 27 days ago

/filters:no_upscale()/news/2025/04/microsoft-dotnet-ai-template-p2/en/resources/1use-aspire-orchestration-1745167526397.png) A notable addition in Preview 2 is the support for .NET Aspire, enhancing the development toolkit with advanced AI capabilities. The Qdrant vector database can be utilized alongside .NET Aspire to create scalable applications. The template continues to utilize the Retrieval Augmented... - Source: dev.to / 29 days ago