Memory Buffer Memory: https://
hwchase17.github.io/langchainjs/do
cs/modules/memory/buffer_memory
…
@langchain
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LangChain Buffer Memory: Essential Tool for AI Agents
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LangChain Chains: LLM, Vector DB QA, Conversation Guide
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Chains (just a selection) LLM Chain: https://
hwchase17.github.io/langchainjs/do
cs/modules/chains/llm_chain
… Vector DB QA: https://
hwchase17.github.io/langchainjs/do
cs/modules/chains/vector_db_qa
… Conversation Chain: https://
hwchase17.github.io/langchainjs/do
cs/modules/chains/conversation_chain
… Load from Hub: https://
hwchase17.github.io/langchainjs/do
cs/modules/chains/load_from_hub
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OpenAI LLMs and LangChain Integration Guide
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LLMs OpenAI: https://
hwchase17.github.io/langchainjs/do
cs/modules/llms/openai
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LangChain JS Indexes: Text Splitter, Embeddings, Vectorstores
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Indexes Text Splitter: https://
hwchase17.github.io/langchainjs/do
cs/modules/indexes/text_splitter
… Embeddings: https://
hwchase17.github.io/langchainjs/do
cs/modules/indexes/embeddings
… Vectorstores: https://
hwchase17.github.io/langchainjs/do
cs/modules/indexes/vectorstore
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LangChain JS Prompt Templates and Few Shot Examples Guide
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Prompts: Prompt Templates: https://
hwchase17.github.io/langchainjs/do
cs/modules/prompts/prompt_template
… Few Shot Examples: https://
hwchase17.github.io/langchainjs/do
cs/modules/prompts/few_shot_examples
… Load from Hub: https://
hwchase17.github.io/langchainjs/do
cs/modules/prompts/load_from_hub
… -
Cross-language AI abstractions with shared serializable formats
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Relationship to Python Package We built the same abstractions (prompts, LLMs, etc) we had in Python In particular, we built them in a way where they share the same serializable format This means you can load the same prompt, chain, agent in both languages
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LLM abstractions now natively available in JavaScript
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HighLights All the same abstractions (prompts, LLMs, textsplitters, embeddings, vectorstores, chains, agents, memory) are now natively available in js There is a common serializable format for cross-language sharing This was only doable with community support
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Why TypeScript Became Priority for LangChain Community
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Why TypeScript? LLMs started out as popular for the ML/data engineering crowd, who prefer Python However, as the LangChain community grew over time, we started to hear a lot of requests for Javascript support And so it became a priority to deliver this
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LangChain JavaScript TypeScript Support Launch
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It's finally here… Javascript/TypeScript support for LangChain BIG thank you to everyone in the community who contributed to this, especially @_seanyneutron and @nfcampos GitHub: https://
github.com/hwchase17/lang
chainjs
…
Blog: https://
blog.langchain.dev/typescript-sup
port/
… LOTS to discuss, lets -
Polished Open Source Tool Discovered
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One of the more polished open source tools we’ve seen! https://t.co/CrZfOQV3AF
— LangChain (@LangChain) 16 février 2023One of the more polished open source tools we’ve seen!