Showing results for existing Vector
GitHub Repo
https://github.com/Human-Augment-Analytics/vector-quantization
Human-Augment-Analytics/vector-quantization
HAAG research intended to develop new vector quantization/compression methods and benchmark against existing methods.
GitHub Repo
https://github.com/uday-31/detecting-market-regime-changes
uday-31/detecting-market-regime-changes
Use hidden Markov models to label regimes on S&P 500 data, train three classifiers (naive Bayes, logistic regression, and support vector machines) to predict regimes with the intent of improving an existing trading strategy
GitHub Repo
https://github.com/QuivrHQ/quivr
QuivrHQ/quivr
Opiniated RAG for integrating GenAI in your apps 🧠Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.
GitHub Repo
https://github.com/LonnieBIII/Shadow-Overlapping_Building_Height_Estimation_Toolset
LonnieBIII/Shadow-Overlapping_Building_Height_Estimation_Toolset
Suite of tools for shadow detection and estimation of building heights given RGB satellite image and existing vector building footprint data
GitHub Repo
https://github.com/elixir-saas/ecto_tsvector
elixir-saas/ecto_tsvector
Add vector search with Ecto to your existing Postgres database.
GitHub Repo
https://github.com/pgEdge/pgedge-vectorizer
pgEdge/pgedge-vectorizer
A PostgreSQL extension to create chunk tables for existing text data, and populate them with embeddings using your favourite LLM.
GitHub Repo
https://github.com/SAP/generative-ai-toolkit-for-sap-hana-cloud
SAP/generative-ai-toolkit-for-sap-hana-cloud
Generative AI Client for SAP HANA Cloud is an extension of the existing HANA ML Python client library, mainly focusing on GenAI and related use cases. It includes many leading-edge GenAI related open source libraries and provides seamless integration with HANA ML, HANA vector engine, and other SAP GenAI Hub SDK.
GitHub Repo
https://github.com/o19s/hangry
o19s/hangry
Vector search in Lucene based search attempting to use just the existing Lucene data structures (experimental)
GitHub Repo
https://github.com/RijinRaju/octanedb
RijinRaju/octanedb
A high-performance, lightweight vector database library built in Python, designed to be faster than existing solutions like Pinecone, ChromaDB, and Qdrant
GitHub Repo
https://github.com/gacarrillor/AppendFeaturesToLayer