andnp-searchkernel added to PyPI
Source: Pypi.org· July 31, 2026
SynaBot summary
A new open-source library, andnp-searchkernel, is now available on PyPI. It offers a flexible search and indexing engine that can integrate with various AI models and data sources for hybrid search capabilities.
Key takeaways
- New open-source search kernel released on PyPI
- Supports hybrid search combining vector, keyword, and graph
- Pluggable providers for embeddings, LLMs, and rerankers
- Designed for domain-agnostic content ingestion
Why it matters
Developers building AI-powered search tools can now leverage this adaptable kernel. Its modular design allows for easy integration of different embedding models and LLMs, enabling more sophisticated and customized search experiences for users.
This story was reported by Pypi.org. Read the full original article:
Read on Pypi.org Try this on SynaBot
Related AI assistants, prompts, and tools from the SynaBot catalog.
AI Tools
- AlphaResearchAlphaResearch is an AI-powered platform designed for financial document analysis, enabling users to efficiently search, read, summarize, cite, and synthesize information from various financial sources and knowledge bases for in-depth insights.
- Researcher.lifeResearcher.life is an AI-powered platform for academics and researchers to efficiently discover, read, and organize research papers. It streamlines the research workflow by personalizing recommendations and providing intuitive tools.
- Kagi SearchKagi Search is a privacy-focused, ad-free search engine that incorporates AI for summarizing results and personalization. It provides clear, concise answers, often using its AI to summarize lengthy webpages or research topics directly within the search results. Users can also fine-tune their search preferences to prioritize specific sources or block unwanted ones, offering a highly customizable and efficient search experience.
