Comments (4)
May I ask if langchain.vectorstores.chroma should also be in this list, or is that implied in "Chat Vector DB Chain"? And When its ticked done, is that when its in the "exp" folder or needs to be moved out once complete? Just feeling out to see if I can contribute anywhere, and this is a handy grid to assess :)
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LangChain Go Features
Feature | Status |
---|---|
Prompt Templates | ✅ |
Few Shot Prompt Template | ✅ |
Output Parsers | ✅ |
Example Selectors | ✅ |
Text Splitters
Feature | Status |
---|---|
Character Text Splitter | ✅ |
Recursive Character Text Splitter | ✅ |
Markdown Text Splitter | ✅ |
Chains
Feature | Status |
---|---|
LLM Chain | ✅ |
Stuff Combine Documents Chain | ✅ |
Map Reduce Combine Documents Chain | ✅ |
Refine Combine Documents Chain | ✅ |
Map Rerank Combine Documents Chain | ❌ |
Chat Vector DB Chain | ✅ |
Vector DB QA Chain | ✅ |
Analyze Document Chain | ✅ |
Question Answering Chains | ✅ |
Summarization Chains | ✅ |
Question Answering With Sources Chains | ❌ |
SQL Database Chain | ✅ |
API Chain | ❌ |
Transformation Chain | ❌ |
Constitutional Chain | ❌ |
Conversational Chain | ✅ |
Graph QA Chain | ❌ |
HyDE Chain | ❌ |
LLM Bash Chain | ❌ |
LLM Math Chain | ❌ |
PAL Chain | ❌ |
LLM Requests Chain | ❌ |
Moderation Chain | ❌ |
Sequential Chain | ❌ |
Simple Sequential Chain | ❌ |
Agents
Feature | Status |
---|---|
zero-shot-react-description | ✅ |
chat-zero-shot-react-description | ✅ |
self-ask-with-search | ❌ |
react-docstore | ❌ |
conversational-react-description | ❌ |
chat-conversational-react-description | ✅ |
Memory
Feature | Status |
---|---|
Buffer Memory | ✅ |
Buffer Window Meory | ✅ |
Summary Memory | ❌ |
Entity Memory | ❌ |
Summary Buffer Memory | ❌ |
Knowledge Graph Memory | ❌ |
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@rdbell Thanks, I moved that content to just be the issue description, we can use this to maintain the parity matrix (for now -- I do want this in source code / on a/the docs site).
from langchaingo.
May I ask if langchain.vectorstores.chroma should also be in this list, or is that implied in "Chat Vector DB Chain"? And When its ticked done, is that when its in the "exp" folder or needs to be moved out once complete? Just feeling out to see if I can contribute anywhere, and this is a handy grid to assess :)
I think we can have green checks and "(exp)" for implementations in exp.
from langchaingo.
Related Issues (20)
- Support idiomatic Structured Generation
- Could MarkdownTextSplitter be stoped at table not at row level? HOT 6
- How do you rate limit calls to llms configured through langchaingo?
- agents: add create and use assistents openai
- error decoding streaming response: invalid character ':' looking for beginning of value
- Consider exposing/separating provider clients.
- add fastembed-go
- Langchaingo can't handle latest embedding models HOT 1
- `memory.ConversationTokenBuffer` apparently doesn't consider the llm type to count tokens
- Ollama Package: Not handling context timeout issues on streaming response. HOT 2
- Azure openAI models
- docker-compose fails in pgvector-vectorstore-example with "The Compose file is invalid" error HOT 1
- [Improvement] TextSplitter: return chunk start and end position
- Unable to send BinaryPart to OpenAI Completions API
- Only the first tool is recognized
- Langchainjs formally supports Ollama functions. Can you support that too? HOT 7
- anthropic: add means to supply anthropic-beta header
- bug: SimilaritySearch with scoreThrehold not works with PgVector. HOT 2
- Support OpenAI structured outputs API HOT 1
- Provide supported model
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