Weaviate: An open-source, cloud-native vector database built for scalable and fast vector searches. It's particularly effective for semantic search applications, combining full-text search with vector search for AI-powered insights. - Source: dev.to / 3 months ago

Weaviate is an open-source vector search engine with out-of-the-box support for vectorization, classification, and semantic search. It is designed to make vector search accessible and scalable, supporting use cases such as semantic text search, automatic classification, and more. - Source: dev.to / 4 months ago

Congrats to them! What have your experiences with vector databases been? I've been using https://weaviate.io/ which works great, but just for little tech demos, so I'm not really sure how to compare one versus another or even what to look for really. - Source: Hacker News / 5 months ago

A RAG implementation's quality and performance highly depend on the similarity-based search of embeddings. The challenge arises from the fact that embeddings are usually high-dimensional vectors, and the knowledge base may have many documents. It's not surprising that the popularity of LLM catalyzed the development of specialized vector databases like Pinecone and Weaviate. However, SQL databases are also evolving... - Source: dev.to / 5 months ago

To find semantically similar texts we need to calculate the distance between vectors. While we have just a few short texts we can brute-force it: calculate the distance between our query and each text embedding one by one and see which one is the closest. When we deal with thousands or even millions of entries in our database, however, we need a more efficient way of comparing vectors. Just like for any other way... - Source: dev.to / 7 months ago

I think my app still can't beat chatpdf.com. :(. Source: 11 months ago

Quoting directly from the FAQ popup on chatpdf.com:. Source: 12 months ago

Try using chatpdf.com I don't really use documents that much. Source: about 1 year ago

I've asked ChatGPT to create excel formulas for me, that's the extent of my experience here. As far as analyzing an actual spreadsheet data, I believe the beta OpenAI tool, code interpreter, can do that. I don't have access to that, however. I have more experience with PDFs. There are several plug-ins for interacting with PDFs if you are a ChatGPT plus subscriber. For free, you can open a PDF in the Microsoft... Source: about 1 year ago

ChatPdf: Free version supports 120 pages/PDF, 10 MB/PDF, 3 PDFs/day, and 50 questions/day. Source: about 1 year ago