⬆️ Update go-skynet/go-llama.cpp (#245)

Signed-off-by: GitHub <noreply@github.com>
Co-authored-by: mudler <mudler@users.noreply.github.com>

Makefile

@@ -3,14 +3,14 @@ GOTEST=$(GOCMD) test
 GOVET=$(GOCMD) vet
 BINARY_NAME=local-ai
 
-GOLLAMA_VERSION?=70593fccbe4b01dedaab805b0f25cb58192c7b38
+GOLLAMA_VERSION?=eb99b5438787cbd687682da445e879e02bfeaa07
 GPT4ALL_REPO?=https://github.com/go-skynet/gpt4all
 GPT4ALL_VERSION?=a330bfe26e9e35ca402e16df18973a3b162fb4db
 GOGPT2_VERSION?=92421a8cf61ed6e03babd9067af292b094cb1307
 RWKV_REPO?=https://github.com/donomii/go-rwkv.cpp
 RWKV_VERSION?=07166da10cb2a9e8854395a4f210464dcea76e47
 WHISPER_CPP_VERSION?=bf2449dfae35a46b2cd92ab22661ce81a48d4993
-BERT_VERSION?=ac22f8f74aec5e31bc46242c17e7d511f127856b
+BERT_VERSION?=33118e0da50318101408986b86a331daeb4a6658
 BLOOMZ_VERSION?=e9366e82abdfe70565644fbfae9651976714efd1
 
 

examples/langchain-chroma/query.py

@@ -2,25 +2,14 @@
 import os
 from langchain.vectorstores import Chroma
 from langchain.embeddings import OpenAIEmbeddings
-from langchain.text_splitter import RecursiveCharacterTextSplitter,CharacterTextSplitter
 from langchain.llms import OpenAI
 from langchain.chains import VectorDBQA
-from langchain.document_loaders import TextLoader
 
 base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
 
 # Load and process the text
-loader = TextLoader('state_of_the_union.txt')
-documents = loader.load()
-
-text_splitter = CharacterTextSplitter(chunk_size=300, chunk_overlap=70)
-texts = text_splitter.split_documents(documents)
-
-# Embed and store the texts
-# Supplying a persist_directory will store the embeddings on disk
-persist_directory = 'db'
-
 embedding = OpenAIEmbeddings()
+persist_directory = 'db'
 
 # Now we can load the persisted database from disk, and use it as normal. 
 vectordb = Chroma(persist_directory=persist_directory, embedding_function=embedding)