Awesome Generative AI
Section: Embeddings and Semantic Search · semantic search and workflows powered by language models
SlowScore 62
Entry
txtai
Appears in 9 awesome lists
All-in-one AI framework for semantic search, LLM orchestration and language model workflows. Embeddings database with customizable pipelines.
Open github.comneuml/txtai
Found in these lists
Awesome LangChain
Section: Other LLM Frameworks · 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows.
FreshScore 90
Awesome LLMOps
Section: Vector search · Build AI-powered semantic search applications
ActiveScore 75
Awesome local LLM
Section: Agent Frameworks · all-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
FreshScore 87
Awesome Machine Learning
Section: Tools · Build semantic search applications and workflows.
FreshScore 93
Awesome Open Source AI
Section: 5. Retrieval-Augmented Generation (RAG) & Knowledge · All-in-one AI framework for semantic search, LLM orchestration and language model workflows. Embeddings database with customizable pipelines.
FreshScore 89
Awesome Vector Search
Section: Standalone Service
ActiveScore 73
Awesome AI Agents: Tools, Resources, and Projects
Section: Workflows · 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
SlowScore 68
awesome-python
Section: Other · 💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
FreshScore 81
Often listed next to it
LlamaIndex
(MIT) provides modules for structured outputs at different levels of abstraction, including output parsers for text completion endpoints, Pydantic programs for mapping prompts to structured outputs using function calling or output parsing, and pre-defined Pydantic programs for specific output types.
In 14 listsDetails
Milvus
Milvus is a cloud-native, open-source vector database built to manage embedding vectors generated by machine learning models and neural networks.
In 14 listsDetails
Haystack
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…
In 13 listsDetails
AutoGen
Microsoft's multi-agent conversation framework with a complete AgentChat layer covering agent loop, tool integration, termination conditions, and human-in-the-loop. The most comprehensive open-source reference for large-scale multi-agent harness design.
In 14 listsDetails
DSPy
(MIT) is a framework for algorithmically optimizing LM prompts and weights. DSPy introduced typed predictor and signatures to leverage Pydantic for enforcing type constraints on inputs and outputs, improving upon string-based fields.
In 11 listsDetails
promptfoo
Test your prompts, models, RAGs. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. LLM evals for OpenAI/Azure GPT, Anthropic Claude, VertexAI Gemini, Ollama, Local & private models like Mistral/Mixtral/Llama with CI/CD
In 11 listsDetails
Semantic Kernel
Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of…
In 11 listsDetails