redis-vl-python
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redis
Redis Vector Library (RedisVL) interfaces with Redis' vector database for realtime semantic search, RAG, and recommendation systems.
Attempt at addressing issue #140
The Redis query engine dialect 3 api changes the outputs for JSON: ```python q = VectorQuery( vector=[0.23, 0.12, -0.03, 0.98], vector_field_name="embedding", filter_expression=filter_expression, return_fields=["name", "description", "price"], dialect=3 ) index.query(q) ``` returns:...
Here's the proposed class for LLM session management. It support recent or full conversation storage & retrieval, as well as relevance based conversation section retrieval.
## Description ## Changes ### Features / major changes
I want to use Amazon bedrock models as vectorizer but there is no such vectorizer. How can i use such embedding models? I have created a custom vectorizer: `import os...
## Limitations Current supported types for HNSW are FLOAT32 and FLOAT64. ## Feature Request Support for binary and scalar embedding quantization(https://huggingface.co/blog/embedding-quantization) using HNSW.
I am facing this issue while trying to applying filter on semantic cache check  
It bothered me how these were numbered but wouldn't show up in order I also changed the name from llmcache to semantic_cache
