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Based on our record, txtai should be more popular than Vectara Neural Search. It has been mentiond 76 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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 / 5 months ago
Hey folks! I wanted to share one of the latest projects I worked on, called Vectara Portal. It's an application that allows users of our platform (https://vectara.com/) to create shareable pages that let you and other users (privately, if you wish) chat with, search through, or get answers from your documents. This began as a side project resulting from a question over lunch: "How do we put the power of our... - Source: Hacker News / 9 months ago
Hi HN! At Vectara (https://vectara.com) were hyper focused on providing best in class retrieval-augmented-generation. We've just released a new open source hallucination detection model (available on HuggingFace and Kaggle) and associated leaderboard to show which LLMs are best at producing accurate summaries. It's far more accurate than our previous model, which has been referenced by a number of HN users here... - Source: Hacker News / 10 months ago
Vectara (https://vectara.com) | Field Engineer, Front-end Engineer, Platform (back-end) Engineer, and Product Managers | Full-time | Egypt, Pakistan, and/or Remote (depends on position) Vectara is a retrieval augmented generation (RAG) as a service platform. We have a ton of IP already: an embedding model that outperforms Cohere and OpenAI, a reranking model that does similarly, a generative model that... - Source: Hacker News / 10 months ago
Nice to see yet another open source approach to LLM/RAG. For those who do not want to meddle with the complexity of do-it-youself, Vectara (https://vectara.com) provides a RAG-as-a-service approach - pretty helpful if you want to stay away from having to worry about all the details, scalability, security, etc - and just focus on building your RAG application. - Source: Hacker News / about 1 year ago
You should also check us out (https://vectara.com) - we provide RAG as a service so you don't have to do all the heavy lifting and putting together the pieces yourself. Source: over 1 year ago
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