Parakeet examples & Recipes

Of this repository: https://github.com/parakeet-nest/parakeet/tree/main/examples

Item	Details
01-generate	generate completion
02-generate-stream	generate completion with stream
03-chat	chat completion
04-chat-stream	chat completion with stream
05-context	chat with context
06-summary	summarize a content
07-explain	explain a piece of code
08-embeddings-memory	create embeddings in a memory vector store
09-embeddings-bbolt	create embeddings in a bbolt vector store
10-chat-conversational-memory	chat completion + conversational memory
11-chat-conversational-bbolt	persist the conversation of the chat
12-json-output	the LLM generates a json output
13-simple-fake-function-calling	kind of function calling
14-mistral-function-calling	use the tools support of Mistral
15-mistral-function-calling	use the tools support of Mistral
16-fake-function-calling	make function calling without the tools support
17-fake-function-calling	make function calling without the tools support
18-call-functions-for-real	call wasm functions with tools
19-mistral-function-calling-tool-support	use the new tools support with Mistral
20-play-with-granite	generate source code
21-analysis-with-granite	analyse source code
22-dockerizing	generate a Dockerfile and a Compose file
23-rag-with-chunker	rag demo
24-rag-with-splitter	rag demo
25-rag-with-regex	rag demo
26-docker-cmd	teach the docker commands to the LLM
27-generate-token	use an authentication token
28-generate-stream-token	use an authentication token
29-chat-token	use an authentication token
30-chat-stream-token	use an authentication token
31-embeddings-memory-token	use an authentication token
32-rag-with-redis	rag demo with Redis as the vector store
33-rag-with-elastic	rag demo with Elasticsearch as the vector store
34-rag-with-bbolt	rag demo with Bbolt as the vector store
35-rag-with-bbolt	rag demo with Bbolt as the vector store
36-rag-with-asciidoc	rag demo with Asciidoc document
37-rag-with-html	rag demo with HTML document
38-rag-with-markdown	rag demo with Markdown document
39-rag-with-elastic-markdown	rag demo with Markdown and Elasticsearch
40-rag-with-elastic-markdown	rag demo with Markdown and Elasticsearch
41-prompt-from-repo	🚧
42-make-a-slm-smarter	experiments to make a SLM an expert on a specific topic
43-function-calling	tools demos with SLMs
44-chat-openai	chat completion with OpenAI
45-chat-stream-openai	chat stream completion with OpenAI
46-create-an-expert	🚧
47-function-calling-xp	call tools several times with the same prompt
48-testing-models	testing various models
49-embeddings-memory-openai	create embeddings with OpenAI
50-llm-information	get information about LLMs
51-genai-webapp	GenAI web application demo
52-constraints	Preventing an LLM from talking about certain things
53-constraints	Preventing an LLM from talking about certain things
54-constraints-webapp	Preventing an LLM from talking about certain things
55-create-npc	Create a NPC with nemotron-mini and chat with him
56-jean-luc-picard	Chat with Jean-Luc Picard
57-jean-luc-picard-rag	Chat with Jean-Luc Picard + RAG
58-michael-burnham	Chat with Michael Burnham
59-jean-luc-picard-contextual-retrieval	Chat with Jean-Luc Picard + Contextual Retrieval
60-safety-models	Safety Models fine-tuned for content safety classification of LLM inputs and responses
61-agents	Basic Flock Agent
62-agents-chat	Conversational Flock Agents
63-agents-chat-stream	Conversational Flock Agents
64-agents-with-tools	Function Calling Flock Agent example