✅ OpenAI Embedding Function ✅ Cohere Embedding Function ✅ HuggingFace Embedding Function (Inference API) ✅ Ollama Embedding Function ✅ Hugging Face Text Embedding Inference (HFEI) API Sentence Transformers PaLM API Custom Embedding Function ...
.vscode bin chromadb api auth cli db experimental ingest logservice migrations proto quota rate_limiting segment server telemetry test utils __init__.py batch_utils.py data_loaders.py delete_file.py directory.py distance_functions.py embedding_functions.py ...
You can use any high-performing embedding model from theembedding list. You can even create your custom embedding functions. In this section, we will use the line OpenAI embedding model called “text-embedding-ada-002” to convert text into embedding. ...
In this sample, I demonstrate how to quickly build chat applications usingPythonand leveraging powerful technologies such asOpenAI ChatGPT models,Embedding models,LangChainframework,ChromaDBvector database, andChainlit, an open-source Python package that is specific...
In this sample, I demonstrate how to quickly build chat applications using Python and leveraging powerful technologies such as OpenAI ChatGPT models, Embedding models, LangChain framework, ChromaDB vector database, and Chainlit, an open-source Python package that is specifically designed to create ...
()text_splitter=RecursiveCharacterTextSplitter(chunk_size=7500,chunk_overlap=100)chunks=text_splitter.split_documents(data)returnchunks# Main function to handle the embedding processdefembed(file):# Check if the file is valid, save it, load and split the data, add to the da...
()text_splitter=RecursiveCharacterTextSplitter(chunk_size=7500,chunk_overlap=100)chunks=text_splitter.split_documents(data)returnchunks# Main function to handle the embedding processdefembed(file):# Check if the file is valid, save it, load and split the data, ...
#include "ChromaDB/ChromaDB.h" int main() { std::unordered_map<std::string, std::string> metadata = { {"key1", "value1"}, {"key2", "value2"} }; std::shared_ptr<chromadb::EmbeddingFunction> embeddingFunction = std::make_shared<chromadb::OpenAIEmbeddingFunction>("openai-api-key...
import{env}from'chromadb-default-embed';// Specify a custom location for models (defaults to '/models/').env.localModelPath='/path/to/models/';// Disable the loading of remote models from the Hugging Face Hub:env.allowRemoteModels=false;// Set location of .wasm files. Defaults to use...
Clone Collection with different embedding function, distance function, and other HNSW fine-tuning parameters Re-embed documents in a collection with a different embedding function Backup your data to a jsonl file Use other existing unix or other tools to transform your data after exporting from or...