llm-classifier
Weaviate
| llm-classifier | Weaviate | |
|---|---|---|
| 4 | 77 | |
| 198 | 9,993 | |
| 10.1% | 4.7% | |
| 7.4 | 10.0 | |
| 8 days ago | 2 days ago | |
| Python | Go | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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llm-classifier
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Lessons after a Half-billion GPT Tokens
We do this for the null hypothesis - is uses an LLM to bootstrap a binary classifier - which handles null easily
https://github.com/lamini-ai/llm-classifier
- FLaNK Stack 29 Jan 2024
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Good old-fashioned AI remains viable in spite of the rise of LLMs
LLMs introduced zero-shot learning, or “prompt engineering” which is drastically easier to use and more effective than labeling data.
You can also retrofit “prompt engineering” onto good old fashion ML like text classifiers. I wrote a library to do just that here: https://github.com/lamini-ai/llm-classifier
IMO, it’s a short matter of time before this takes over all of what used to be called “deep learning”.
- How to use a LLM to classify text
Weaviate
- Weaviate – A cloud-native, open-source vector database
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pgvecto.rs alternatives - qdrant and Weaviate
3 projects | 13 Mar 2024
- FLaNK Stack 29 Jan 2024
- Qdrant, the Vector Search Database, raised $28M in a Series A round
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How to use Weaviate to store and query vector embeddings
In this tutorial, I introduce Weaviate, an open-source vector database, with the thenlper/gte-base embedding model from Alibaba, through Hugging Face's transformers library.
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Choosing vector database: a side-by-side comparison
This will be solved in Weaviate https://github.com/weaviate/weaviate/issues/2424
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Who's hiring developer advocates? (October 2023)
Link to GitHub -->
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Do we think about vector dbs wrong?
Hey @rvrs, I work on Weaviate and we are doing some improvements around increasing write throughput:
1. gRPC. Using gRPC to write vectors has had a really nice performance boost. It is released in Weaviate core but here is still some work on do on the clients. Feel free to get in contact if you would like to try it out.
2. Parameter tuning. lowering `efConstruction` can speed up imports.
3. We are also working on async indexing https://github.com/weaviate/weaviate/issues/3463 which will further speed things up.
In comparison with pgvector, Weaviate has more flexible query options such as hybrid search and quantization to save memory on larger datasets.
- Weaviate vector database
- Weaviate 1.21: Support for ImageBind and GPT4all and more
What are some alternatives?
ml-ferret
Milvus - A cloud-native vector database, storage for next generation AI applications
reor - Private & local AI personal knowledge management app.
faiss - A library for efficient similarity search and clustering of dense vectors.
llm-routing-agent - Agent that routes to different tools - LLM classifier SDK
pgvector - Open-source vector similarity search for Postgres
langroid - Harness LLMs with Multi-Agent Programming
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
heynote - A dedicated scratchpad for developers
jina - ☁️ Build multimodal AI applications with cloud-native stack
java-snapshot-testing - Facebook style snapshot testing for JAVA Tests
vald - Vald. A Highly Scalable Distributed Vector Search Engine