langchain/templates/rag-redis/rag_redis/schema.yml

text:
- name: content
- name: source
numeric:
- name: start_index
vector:
- name: content_vector
  algorithm: HNSW
  datatype: FLOAT32
  dims: 384
  distance_metric: COSINE
Redis langserve template (#12443) Add Redis langserve template! Eventually will add semantic caching to this too. But I was struggling to get that to work for some reason with the LCEL implementation here. - Description: Introduces the Redis LangServe template. A simple RAG based app built on top of Redis that allows you to chat with company's public financial data (Edgar 10k filings) - Issue: None - Dependencies: The template contains the poetry project requirements to run this template - Tag maintainer: @baskaryan @Spartee - Twitter handle: @tchutch94 Note: this requires the commit here that deletes the `_aget_relevant_documents()` method from the Redis retriever class that wasn't implemented. That was breaking the langserve app. --------- Co-authored-by: Sam Partee <sam.partee@redis.com> 2023-10-28 15:31:12 +00:00			`text:`
			`- name: content`
			`- name: source`
			`numeric:`
			`- name: start_index`
			`vector:`
			`- name: content_vector`
			`algorithm: HNSW`
			`datatype: FLOAT32`
			`dims: 384`
			`distance_metric: COSINE`