deep-searcher
duckdb-embedding-search
| deep-searcher | duckdb-embedding-search | |
|---|---|---|
| 2 | 1 | |
| 5,524 | 130 | |
| 47.3% | 8.5% | |
| 9.5 | 5.5 | |
| 4 days ago | 6 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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deep-searcher
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Deep Searcher, Open source deep researcher on your private data
github https://github.com/zilliztech/deep-searcher
- DeepSearcher
duckdb-embedding-search
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32k context length text embedding models
Personally I feel they are overkill.
For example I’m using duckDB as a vector store for similarity search and RAG. It works really well.
https://github.com/patricktrainer/duckdb-embedding-search
What are some alternatives?
Director - AI video agents framework for next-gen video interactions and workflows.
raglite - 🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite
langmanus - A community-driven AI automation framework that builds upon the incredible work of the open source community. Our goal is to combine language models with specialized tools for tasks like web search, crawling, and Python code execution, while giving back to the community that made this possible. [GET https://api.github.com/repos/langmanus/langmanus: 404 - Not Found // See: https://docs.github.com/rest/repos/repos#get-a-repository]
semantweet-search - Vector search over tweets from the tweet archive using OpenAI embeddings and LanceDB
InkChatGPT - Retrieval-augmented generation (RAG) LLM app
fastembed - Fast, Accurate, Lightweight Python library to make State of the Art Embedding