LlamaIndex is a data framework for your LLM applications
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Updated
Jun 3, 2024 - Python
LlamaIndex is a data framework for your LLM applications
A cloud-native vector database, storage for next generation AI applications
A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
Java version of LangChain
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
This is an GraphRAG - Knowledge Graph based and out-of-the-box conversational search tool that leverages the vector storage capabilities of TiDB Serverless. It provides a seamless way to embed a powerful question-answering (QA) bot directly on your website, requiring only a simple copy-and-paste of a JavaScript snippet. Demo: https://tidb.ai
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
A distributed Key-Value Storage using Raft
Distributed vector search for AI-native applications
Chatbot using Langchain and Gemini-pro
Optimized local inference for LLMs with HuggingFace-like APIs for quantization, vision/language models, multimodal agents, speech, vector DB, and RAG.
High quality resources & applications for LLMs, multi-modal models and VectorDBs
Example of building a chatbot with Langchain and Supabase Vector.
VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.
An open source framework for building AI-powered apps with familiar code-centric patterns. Genkit makes it easy to integrate, test, and deploy sophisticated AI features to Firebase or Google Cloud.
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