@techNmak: Meilisearch is an open-source search engine for building fast application search without stitching together separate ke…

X AI KOLs Timeline 09/13/26, 08:39 PM Tools

open-source search-engine full-text-search semantic-search hybrid-retrieval api

Summary

Meilisearch is an open-source search engine that enables fast application search with typo-tolerant full-text, semantic, and hybrid retrieval, all accessible through a single API with configurable keyword vs. embedding reliance.

Meilisearch is an open-source search engine for building fast application search without stitching together separate keyword and vector systems. It handles typo-tolerant full-text search, semantic and hybrid retrieval, filters, facets and ranking behind the same API. semanticRatio controls how much a query relies on keywords versus embeddings, so exact identifiers and vague natural-language searches can coexist in the same index. 57.8k stars.

Original Article

Similar Articles

A VERY lightweight open web-search tool for smaller local LLMs

Reddit r/LocalLLaMA

TinySearch is an open-source MCP tool that performs web search, crawls pages, and retrieves/re-ranks relevant chunks to provide a concise context for smaller local LLMs, avoiding context pollution from full page dumps.

AnySearch

Product Hunt

AnySearch is a real-time structured search service designed for agents and developers, providing trusted search capabilities.

@jakevin7: Maka has built-in support for DeepSeek API's web search https://github.com/maka-agent/maka-agent/pull/2152… The specific approach is to declare the web_search tool in the API request parameters, directly…

X AI KOLs Following

Maka has built-in support for DeepSeek API's web search. By declaring the web_search tool in the API request parameters, it eliminates the need to integrate third-party search engines, further improving compatibility with models like DeepSeek/GLM/Kimi.

@Trtd6Trtd: https://github.com/MinishLab/semble… High-speed code search library specialized for AI Compared to grep + reading, it s…

X AI KOLs Timeline

Semble 是一个面向 AI 代理的高效代码搜索库，使用模型如 Model2Vec 或 BM25 实现快速索引和检索，比 grep+read 节省约 98% 的 token，支持 MCP 服务器和 CLI 集成。

@Pluvio9yte: After integrating AnySearch, my agent's search efficiency improved. Tools like Parallel, Perplexity, and Tavily have a persistent issue when used by agents — they return links and summaries, so the agent still has to open pages, filter content, and assess relevance. For verticals like finance, academia, and code, search quality is even worse. Output lacks structure, and parsing content alone burns a lot of tokens.