MeiliSearch VS Searx

With the VertexAI endpoint set up and tested, our next step is to work with LibreChat. LibreChat is an open-source ChatGPT clone that can integrate with various AI models, including the PaLM 2 models via the VertexAI API. It's built using React, MongoDB, and Meilisearch technologies.

Meilisearch seems like it is the best open source option.

https://www.meilisearch.com/

Starting with v1.3, you can use Meilisearch as a vector store. Meilisearch allows you to store vector embeddings alongside your documents conveniently. You will need to create the vector embeddings using your third-party tool of choice (Hugging Face, OpenAI). As we published the first v1.3 release candidate, you can try out vector search today.

I work at Meilisearch, an open-source search engine built in Rust. 🦀

https://www.meilisearch.com/ https://github.com/meilisearch

1) your program uses a db to index but the actual search is querying too much data at a time and you need to chop the server side query into smaller/faster queries. you could build your own efficient search with something like https://github.com/meilisearch/meilisearch

Don't know about a progress bar, but here is an open source search engine: https://www.meilisearch.com/

toml [dependencies] milli_v1 = { git = "https://github.com/meilisearch/meilisearch", package = "milli", tag = "v1.1.1" }

RSS-Bridge has a Google search adapter. You can also fake it with Searx (which offers RSS feeds of search results).

I've recently wondered how effective local models were at chaining together thoughts as proposed in https://ofir.io/self-ask.pdf. Turns out they are indeed capable of doing so while also creating reasonable chains of thoughts that are easily as good as OpenAI's models. To make it completely free to run I used SearX running inside a Docker container with a second model curating the search results for the main model to get answers from the web.

Here's SearX

You can also supplement it with Searx's RSS feeds

It actually helps people be more private and secure while searching the web for search results. If you heard of searx, it is an alternative to it.

https://github.com/searx/searx