Unified framework for building enterprise RAG pipelines with small, specialized models
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Updated
Jul 8, 2024 - Python
Unified framework for building enterprise RAG pipelines with small, specialized models
Benchmark study on LanceDB, an embedded vector DB, for full-text search and vector search
A proof-of-concept of retrieval-augmented generation, using Google's PaLM API.
Unstract's interface to LLMs, Embeddings and VectorDBs.
Automation of Prioritization and Categorization of Support Tickets Using LLMs and Vector DBs
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