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Open source, high-throughput, fault-tolerant vector embedding pipeline
Simple API endpoint that ingests large volumes of raw data, processes, and stores or returns the vectors quickly and reliably
Simple API endpoint that ingests large volumes of raw data, processes, and stores or returns the vectors quickly and reliably
dgarnitz • GitHub - dgarnitz/vectorflow: VectorFlow is a high volume vector embedding pipeline that ingests raw data, transforms it into vectors and writes it to a vector DB of your choice.
OpenGPTs
This is an open source effort to create a similar experience to OpenAI's GPTs. It builds upon LangChain, LangServe and LangSmith. OpenGPTs gives you more control, allowing you to configure:
This is an open source effort to create a similar experience to OpenAI's GPTs. It builds upon LangChain, LangServe and LangSmith. OpenGPTs gives you more control, allowing you to configure:
- The LLM you use (choose between the 60+ that LangChain offers)
- The prompts you use (use LangSmith to debug those)
- The tools you give it (choose from LangC
langchain-ai • langchain-ai/opengpts
Build, Collaborate & Integrate APIs | SwaggerHub
app.swaggerhub.comHugging Face is a very prominent player in the NLP space and has considerable traction in open-source
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
by Humankind
byhumankind.com
shft
@shft
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life__nuggets
Hamest Artin • 1 card
a couple of the top of my head:
- LLM in the loop with preference optimization
- synthetic data generation
- cross modality "distillation" / dictionary remapping
- constrained decoding