lfunderburk / llmops-with-haystackLinks
Retrieval Augmented Generation applications
☆26Updated last year
Alternatives and similar repositories for llmops-with-haystack
Users that are interested in llmops-with-haystack are comparing it to the libraries listed below
Sorting:
- Writing Blog Posts with Generative Feedback Loops!☆49Updated last year
- ☆31Updated last year
- Tool to take your ML model from local to production with one-line of code.☆25Updated last year
- Demos of some issues with LangChain.☆31Updated 2 years ago
- ☆77Updated last year
- A framework for simulating e-commerce data and interactions that can be used to build recommendation systems☆10Updated last year
- Prompt Engineering for Large Language Models - Notebooks, Demos, Exercises, and Projects☆23Updated last year
- Data extraction with LLM on CPU☆68Updated last year
- AI_Powered_Dev_Search_Engine☆12Updated last year
- ☆12Updated last year
- Lite weight wrapper for the independent implementation of SPLADE++ models for search & retrieval pipelines. Models and Library created by…☆31Updated 10 months ago
- Data extraction with LLM on CPU☆85Updated last year
- Hassle-free ML Pipelines on Kubernetes☆39Updated 2 years ago
- Streamlit app for recommending eval functions using prompt diffs☆28Updated last year
- A Discord Bot for distilling papers, GitHub repos, Blogposts, and much more using the power of LLMs and vector search.☆13Updated 2 years ago
- Web App for generating synthetic data☆48Updated 10 months ago
- ☆75Updated last year
- ☆29Updated 2 years ago
- Explore the use of DSPy for extracting features from PDFs 🔎☆43Updated last year
- This is the repo for the container that holds the models for the text2vec-transformers module☆51Updated this week
- A python package that provides a custom streamlit connection to query data from weaviate, the AI native vector database☆55Updated 11 months ago
- A tutorial on DSPy and whether automated prompt engineering lives up to the hype☆23Updated last year
- Telemetry for applications that use LLM tools.☆26Updated 2 years ago
- An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.☆30Updated 2 years ago
- Supervised instruction finetuning for LLM with HF trainer and Deepspeed☆35Updated 2 years ago
- ☆20Updated 8 months ago
- ☆1Updated last year
- Data extraction with LLM on CPU☆114Updated last year
- Creating Generative AI Apps which work☆17Updated 2 months ago
- Code and notebooks associated with my blogposts☆65Updated 6 months ago