Vectara Neural Search
Dify.AI
txtai
Haystack NLP Framework
Annoy
LangChain
Milvus
Prompts
openplayground
Hugging Face
LangChain
Haystack NLP Framework
Vercel AI SDK
StableLM
MiniGPT-4
GPT4All
Vectara Neural Search openplaygroundBased on our record, Vectara Neural Search seems to be a lot more popular than openplayground. While we know about 13 links to Vectara Neural Search, we've tracked only 1 mention of openplayground. 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.
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 / 3 months 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: 6 months ago
Hi HN! I lead product for Vectara (https://vectara.com) and we recently worked with OpenSource connections to both evaluate our new home-grown embedding model (Boomerang) as well as to help users start more quantitatively evaluating these systems on their own data/with their own queries. OSC maintains a fantastic open source tool, Quepid, and we worked with them to integrate Vectara (and to use it to... - Source: Hacker News / 8 months ago
RAG is a very useful flow but I agree the complexity is often overwhelming, esp as you move from a toy example to a real production deployment. It's not just choosing a vector DB (last time I checked there were about 50), managing it, deciding on how to chunk data, etc. You also need to ensure your retrieval pipeline is accurate and fast, ensuring data is secure and private, and manage the whole thing as it... - Source: Hacker News / 9 months ago
I agree. My experience is that hybrid search does provide better results in many cases, and is honestly not as easy to implement as may seem at first. In general, getting search right can be complicated today and the common thinking of "hey I'm going to put up a vector DB and use that" is simplistic. Disclaimer: I'm with Vectara (https://vectara.com), we provide an end-to-end platform for building GenAI products. - Source: Hacker News / 9 months ago
From there you have lots of other models: One of the best places to easily start using multiple models is using a multiple model UI program lik GPT4All, there are also some programs that provide access to more models or use different ways of interfacing with them, here are some of what I've found are the best / most popular programs to play around with lots of different models and compare them: LocalAI, ... Source: about 1 year ago
Dify.AI - Open-source platform for LLMOps,Define your AI-native Apps
Hugging Face - The Tamagotchi powered by Artificial Intelligence 🤗
txtai - AI-powered search engine
LangChain - Framework for building applications with LLMs through composability
Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.
Annoy - Annoy is a C++ library with Python bindings to search for points in space that are close to a given query point.