LexiestLeszek/sova_ollama

Open source implementation of Sova - RAG-based Web search engine using power of LLMs. Using Langchain, Ollama, HuggingFace Embeddings and scraping google search results.

29
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Experimental

Sova helps you get direct, full-text answers to your web search queries instead of just a list of links. You provide a question or search term, and it uses powerful language models to scrape Google results and synthesize a comprehensive answer. Anyone who needs quick, summarized information from the web without sifting through multiple pages would find this useful.

No commits in the last 6 months.

Use this if you want to quickly find and synthesize information from multiple web sources into a single, direct answer, much like asking a knowledgeable assistant.

Not ideal if you need to browse specific websites, examine source documents in detail, or prefer to evaluate search results manually.

web-research information-synthesis knowledge-retrieval content-briefing
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 6 / 25

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Stars

40

Forks

2

Language

HTML

License

MIT

Last pushed

Feb 12, 2024

Commits (30d)

0

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